{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al_2025_BJPOLS_Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}17 Nov 2025, 13:52:31

{com}. do "C:\Users\corin\AppData\Local\Temp\STD53f0_000000.tmp"
{txt}
{com}. 
. 
. ***************
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. ***** FIGURE 1
. keep if year_month_rel<=48
{txt}(66 observations deleted)

{com}. 
. collapse ministry_questions_all, by(year_month_rel country)
{txt}
{com}. graph twoway (line ministry_questions_all year_month_rel if country=="austria", connect(J) xlabel(,notick) ylabel(,notick) ) (mspline ministry_questions_all year_month_rel if country=="austria", bands(15) xlabel(,notick) ylabel(,notick angle(horizontal) nogrid) ), legend(off) xtitle("months since first minister entered office") graphregion(color(white)) title("Austria")
{res}{txt}
{com}. graph save "figure1_at.gph", replace
{txt}(note: file figure1_at.gph not found)
{res}{txt}(file figure1_at.gph saved)

{com}. graph twoway (line ministry_questions_all year_month_rel if country=="belgium", connect(J) xlabel(,notick) ylabel(,notick) ) (mspline ministry_questions_all year_month_rel if country=="belgium", bands(15) xlabel(,notick) ylabel(,notick angle(horizontal) nogrid) ), legend(off) xtitle("months since first minister entered office") graphregion(color(white)) title(Belgium)
{res}{txt}
{com}. graph save "figure1_be.gph", replace
{txt}(note: file figure1_be.gph not found)
{res}{txt}(file figure1_be.gph saved)

{com}. graph twoway (line ministry_questions_all year_month_rel if country=="denmark", connect(J) xlabel(,notick) ylabel(,notick) ) (mspline ministry_questions_all year_month_rel if country=="denmark", bands(15) xlabel(,notick) ylabel(,notick angle(horizontal) nogrid) ), legend(off) xtitle("months since first minister entered office") graphregion(color(white)) title(Denmark)
{res}{txt}
{com}. graph save "figure1_dk.gph", replace
{txt}(note: file figure1_dk.gph not found)
{res}{txt}(file figure1_dk.gph saved)

{com}. graph twoway (line ministry_questions_all year_month_rel if country=="germany", connect(J) xlabel(,notick) ylabel(,notick) ) (mspline ministry_questions_all year_month_rel if country=="germany", bands(15) xlabel(,notick) ylabel(,notick angle(horizontal) nogrid) ), legend(off) xtitle("months since first minister entered office") graphregion(color(white)) title(Germany)
{res}{txt}
{com}. graph save "figure1_de.gph", replace
{txt}(note: file figure1_de.gph not found)
{res}{txt}(file figure1_de.gph saved)

{com}. graph twoway (line ministry_questions_all year_month_rel if country=="spain", connect(J) xlabel(,notick) ylabel(,notick) ) (mspline ministry_questions_all year_month_rel if country=="spain", bands(15) xlabel(,notick) ylabel(,notick angle(horizontal) nogrid) ), xtitle("months since first minister entered office") graphregion(color(white)) title(Spain) legend(off)
{res}{txt}
{com}. graph save "figure1_esp.gph", replace
{txt}(note: file figure1_esp.gph not found)
{res}{txt}(file figure1_esp.gph saved)

{com}. 
. graph combine "figure1_at.gph" "figure1_be.gph" "figure1_dk.gph" "figure1_de.gph" "figure1_esp.gph" , graphregion(color(white))
{res}{txt}
{com}. graph save figure1.gph, replace
{txt}(note: file figure1.gph not found)
{res}{txt}(file figure1.gph saved)

{com}. 
. 
. 
. 
. 
. 
. ******** FIGURE 2
. 
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. 
. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 & ministry_id==501 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 & ministry_id==501 , lcolor(gs10) lpattern(solid) ) , xtitle("Months") ytitle("Number of questions") ylabel(,notick angle(horizontal) nogrid ) xlabel(,noticks) graphregion(color(white)) title(Austria 2014 Oberhauser-Stöger) legend(off)
{res}{txt}
{com}. graph save figure2_at.gph, replace
{txt}(note: file figure2_at.gph not found)
{res}{txt}(file figure2_at.gph saved)

{com}. 
. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 & ministry_id==879 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 & ministry_id==879 , lcolor(gs10) lpattern(solid) ) , xtitle("Months") ytitle("Number of questions") ylabel(,notick angle(horizontal) nogrid ) xlabel(,noticks) graphregion(color(white)) title(Belgium 2005 Lanotte-Van den Bossche) legend(off)
{res}{txt}
{com}. graph save figure2_be.gph, replace
{txt}(note: file figure2_be.gph not found)
{res}{txt}(file figure2_be.gph saved)

{com}. 
. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 & ministry_id==6221 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 & ministry_id==6221 , lcolor(gs10) lpattern(solid) ) , xtitle("Months") ytitle("Number of questions") ylabel(,notick angle(horizontal) nogrid ) xlabel(,noticks) graphregion(color(white)) title(Germany 2001 Funke-Künast) legend(off)
{res}{txt}
{com}. graph save figure2_de.gph, replace
{txt}(note: file figure2_de.gph not found)
{res}{txt}(file figure2_de.gph saved)

{com}. 
. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 & ministry_id==9997 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 & ministry_id==9997 , lcolor(gs10) lpattern(solid) ) , xtitle("Months") ytitle("Number of questions") ylabel(,notick angle(horizontal) nogrid ) xlabel(,noticks) graphregion(color(white)) title(Denmark 2011 Nedergaard-Poulsen) legend(off)
{res}{txt}
{com}. graph save figure2_dk.gph, replace
{txt}(note: file figure2_dk.gph not found)
{res}{txt}(file figure2_dk.gph saved)

{com}. 
. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 & ministry_id==16400 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 & ministry_id==16400 , lcolor(gs10) lpattern(solid) ) , xtitle("Months") ytitle("Number of questions") ylabel(,notick angle(horizontal) nogrid ) xlabel(,noticks) graphregion(color(white)) title(Spain 1999 de Palacio-Posada) legend(off)
{res}{txt}
{com}. graph save figure2_esp.gph, replace
{txt}(note: file figure2_esp.gph not found)
{res}{txt}(file figure2_esp.gph saved)

{com}. 
. graph combine "figure2_at.gph" "figure2_be.gph" "figure2_dk.gph" "figure2_de.gph" "figure2_esp.gph" , graphregion(color(white)) ycommon
{res}{txt}
{com}. graph save figure2.gph, replace
{txt}(note: file figure2.gph not found)
{res}{txt}(file figure2.gph saved)

{com}. 
. 
. 
. 
. 
. *****FIGURES A2
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. keep if country=="austria"
{txt}(2,776 observations deleted)

{com}. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 , lcolor(gs10) lpattern(solid) ) , by(ministry_id, legend(off) graphregion(color(white)) ) ///
>  xtitle("Months") ytitle("Number of questions") ///
>  ylabel(, notick angle(horizontal) nogrid) ///
>  xlabel(, noticks) ///
>  legend(off) 
{res}{txt}
{com}. graph save figure_app2_1.gph, replace
{txt}(note: file figure_app2_1.gph not found)
{res}{txt}(file figure_app2_1.gph saved)

{com}. 
. 
. 
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. keep if country=="belgium"
{txt}(2,582 observations deleted)

{com}. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 , lcolor(gs10) lpattern(solid) ) , by(ministry_id, legend(off) graphregion(color(white)) ) ///
>  xtitle("Months") ytitle("Number of questions") ///
>  ylabel(, notick angle(horizontal) nogrid) ///
>  xlabel(, noticks) ///
>  legend(off) 
{res}{txt}
{com}. graph save figure_app2_2.gph, replace
{txt}(note: file figure_app2_2.gph not found)
{res}{txt}(file figure_app2_2.gph saved)

{com}. 
. 
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. keep if country=="denmark"
{txt}(1,939 observations deleted)

{com}. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 , lcolor(gs10) lpattern(solid) ) , by(ministry_id, legend(off) graphregion(color(white)) ) ///
>  xtitle("Months") ytitle("Number of questions") ///
>  ylabel(, notick angle(horizontal) nogrid) ///
>  xlabel(, noticks) ///
>  legend(off) 
{res}{txt}
{com}. graph save figure_app2_3.gph, replace
{txt}(note: file figure_app2_3.gph not found)
{res}{txt}(file figure_app2_3.gph saved)

{com}. 
. 
. 
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. keep if country=="germany"
{txt}(2,778 observations deleted)

{com}. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 , lcolor(gs10) lpattern(solid) ) , by(ministry_id, legend(off) graphregion(color(white)) ) ///
>  xtitle("Months") ytitle("Number of questions") ///
>  ylabel(, notick angle(horizontal) nogrid) ///
>  xlabel(, noticks) ///
>  legend(off) 
{res}{txt}
{com}. graph save figure_app2_4.gph, replace
{txt}(note: file figure_app2_4.gph not found)
{res}{txt}(file figure_app2_4.gph saved)

{com}. 
. 
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. keep if country=="spain"
{txt}(2,181 observations deleted)

{com}. graph twoway (line ministry_questions_all year_month_rel if minister_gender==1 , lcolor(black) ) (line ministry_questions_all year_month_rel if minister_gender==2 , lcolor(gs10) lpattern(solid) ) , by(ministry_id, legend(off) graphregion(color(white)) ) ///
>  xtitle("Months") ytitle("Number of questions") ///
>  ylabel(, notick angle(horizontal) nogrid) ///
>  xlabel(, noticks) ///
>  legend(off) 
{res}{txt}
{com}. graph save figure_app2_5.gph, replace
{txt}(note: file figure_app2_5.gph not found)
{res}{txt}(file figure_app2_5.gph saved)

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ************* Table A3.1/Figure 3
. use "C:\Kroeber et al 2025 BJPOLS Replication Files\Kroeber_et_al2025_BJPOLS_data.dta" , clear
{txt}
{com}. xtset ministry_id year_month_abs
{res}{txt}{col 8}panel variable:  {res}ministry_id (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year_month_~s, 1 to 349
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1475.7411}  
Iteration 1:{space 3}log likelihood = {res: -975.8335}  
Iteration 2:{space 3}log likelihood = {res:-940.78587}  
Iteration 3:{space 3}log likelihood = {res:-932.66554}  
Iteration 4:{space 3}log likelihood = {res:-930.71583}  
Iteration 5:{space 3}log likelihood = {res:-930.33583}  
Iteration 6:{space 3}log likelihood = {res:-930.27175}  
Iteration 7:{space 3}log likelihood = {res: -930.2567}  
Iteration 8:{space 3}log likelihood = {res:-930.25326}  
Iteration 9:{space 3}log likelihood = {res:-930.25252}  
Iteration 10:{space 2}log likelihood = {res:-930.25239}  
Iteration 11:{space 2}log likelihood = {res:-930.25238}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       288
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         7

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      41.1
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   125.81
{txt}Log likelihood  = {res}-930.25238{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .9590056{col 26}{space 2} .1873454{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .5918154{col 67}{space 3} 1.326196
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0610091{col 26}{space 2}  .025941{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0101657{col 67}{space 3} .1118525
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0169047{col 26}{space 2} .0042475{col 37}{space 1}   -3.98{col 46}{space 3}0.000{col 54}{space 4}-.0252296{col 67}{space 3}-.0085798
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 7.789769{col 26}{space 2} 218.1691{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-419.8137{col 67}{space 3} 435.3933
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.2037238{col 26}{space 2} .0230362{col 37}{space 1}   -8.84{col 46}{space 3}0.000{col 54}{space 4}-.2488739{col 67}{space 3}-.1585737
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} -.019879{col 26}{space 2} .5977233{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-1.191395{col 67}{space 3} 1.151637
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007244{col 26}{space 2} .0003317{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-.0013746{col 67}{space 3}-.0000743
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model1_at
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1923.4103}  
Iteration 2:{space 3}log likelihood = {res:-1920.8953}  
Iteration 3:{space 3}log likelihood = {res:-1920.8891}  
Iteration 4:{space 3}log likelihood = {res:-1920.8891}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   441.38
{txt}Log likelihood  = {res}-1920.8891{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.4348926{col 26}{space 2} .0413836{col 37}{space 1}  -10.51{col 46}{space 3}0.000{col 54}{space 4}-.5160029{col 67}{space 3}-.3537823
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0853918{col 26}{space 2}  .008547{col 37}{space 1}   -9.99{col 46}{space 3}0.000{col 54}{space 4}-.1021437{col 67}{space 3}  -.06864
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0210982{col 26}{space 2}  .002219{col 37}{space 1}    9.51{col 46}{space 3}0.000{col 54}{space 4} .0167491{col 67}{space 3} .0254473
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0097457{col 26}{space 2} .0121665{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.0141002{col 67}{space 3} .0335916
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0002576{col 26}{space 2} .0003415{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.0004118{col 67}{space 3}  .000927
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0031673{col 26}{space 2} .0004239{col 37}{space 1}    7.47{col 46}{space 3}0.000{col 54}{space 4} .0023365{col 67}{space 3} .0039981
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007551{col 26}{space 2} .0001588{col 37}{space 1}   -4.75{col 46}{space 3}0.000{col 54}{space 4}-.0010663{col 67}{space 3}-.0004438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model1_be
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3227.7786}  
Iteration 2:{space 3}log likelihood = {res: -3227.745}  
Iteration 3:{space 3}log likelihood = {res: -3227.745}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    76.46
{txt}Log likelihood  = {res} -3227.745{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}   .13915{col 26}{space 2} .0290209{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} .0822701{col 67}{space 3} .1960298
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0038079{col 26}{space 2} .0047991{col 37}{space 1}   -0.79{col 46}{space 3}0.428{col 54}{space 4} -.013214{col 67}{space 3} .0055982
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018571{col 26}{space 2}  .000366{col 37}{space 1}   -5.07{col 46}{space 3}0.000{col 54}{space 4}-.0025744{col 67}{space 3}-.0011397
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0513812{col 26}{space 2} .0138393{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .0242568{col 67}{space 3} .0785057
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0017123{col 26}{space 2} .0009157{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4} -.003507{col 67}{space 3} .0000823
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001079{col 26}{space 2}  .000027{col 37}{space 1}   -4.00{col 46}{space 3}0.000{col 54}{space 4}-.0001607{col 67}{space 3} -.000055
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0008163{col 26}{space 2} .0002156{col 37}{space 1}   -3.79{col 46}{space 3}0.000{col 54}{space 4}-.0012389{col 67}{space 3}-.0003938
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  estimates store model1_dk
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1364.0504}  
Iteration 1:{space 3}log likelihood = {res: -1170.481}  
Iteration 2:{space 3}log likelihood = {res:-1167.6039}  
Iteration 3:{space 3}log likelihood = {res:-1167.6003}  
Iteration 4:{space 3}log likelihood = {res:-1167.6003}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   335.54
{txt}Log likelihood  = {res}-1167.6003{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.017401{col 26}{space 2}  .090549{col 37}{space 1}   11.24{col 46}{space 3}0.000{col 54}{space 4}  .839928{col 67}{space 3} 1.194874
{txt}~pduration_c {c |}{col 14}{res}{space 2}-11.31901{col 26}{space 2} 1.464955{col 37}{space 1}   -7.73{col 46}{space 3}0.000{col 54}{space 4}-14.19027{col 67}{space 3}-8.447748
{txt}~rduration_c {c |}{col 14}{res}{space 2}-34.98533{col 26}{space 2} 4.480121{col 37}{space 1}   -7.81{col 46}{space 3}0.000{col 54}{space 4} -43.7662{col 67}{space 3}-26.20445
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 4.753276{col 26}{space 2} .6160526{col 37}{space 1}    7.72{col 46}{space 3}0.000{col 54}{space 4} 3.545835{col 67}{space 3} 5.960717
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1574623{col 26}{space 2} .0203147{col 37}{space 1}    7.75{col 46}{space 3}0.000{col 54}{space 4} .1176462{col 67}{space 3} .1972784
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0002897{col 26}{space 2}  .000159{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-.0006014{col 67}{space 3}  .000022
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model1_de
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1261.8266}  
Iteration 2:{space 3}log likelihood = {res:-1261.5172}  
Iteration 3:{space 3}log likelihood = {res:-1261.5159}  
Iteration 4:{space 3}log likelihood = {res:-1261.5159}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    63.67
{txt}Log likelihood  = {res}-1261.5159{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4016993{col 26}{space 2} .0908469{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .2236425{col 67}{space 3}  .579756
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0706811{col 26}{space 2}  .034523{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0030173{col 67}{space 3} .1383448
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0055958{col 26}{space 2} .0024913{col 37}{space 1}   -2.25{col 46}{space 3}0.025{col 54}{space 4}-.0104786{col 67}{space 3} -.000713
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0838243{col 26}{space 2} .0282501{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0284551{col 67}{space 3} .1391935
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0023695{col 26}{space 2} .0006741{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-.0036906{col 67}{space 3}-.0010484
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001344{col 26}{space 2}  .000214{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4}-.0002849{col 67}{space 3} .0005538
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0012959{col 26}{space 2} .0003113{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.0019061{col 67}{space 3}-.0006858
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model1_esp
{txt}
{com}. 
. 
. ********** FIGURE 3
. coefplot (model1_de, label(M 2, Germany) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  (model1_at, label(M 2, Austria) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  (model1_esp, label(M 2, Spain) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) /// 
>  (model1_dk, label(M 2, Denmark) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  (model1_be, label(M 2, Belgium) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  , keep( *.minister_gender) legend(cols(1) region(lcolor(none))) xline(1, lpattern(dash) lcolor(gs12)) legend(off) title() ylabel( 1"Denmark" 1.32"Belgium" 1.16"Spain" 0.84"Austria" 0.68"Germany",noticks) xlabel(,noticks) graphregion(color(white)) eform 
{res}{txt}
{com}. graph save figure_3.gph, replace
{txt}(note: file figure_3.gph not found)
{res}{txt}(file figure_3.gph saved)

{com}.  
. ******** Table A3.1
. esttab model1_at model1_be model1_dk model1_de model1_esp using table_app3_1.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app3_1.rtf not found)
(output written to {browse  `"table_app3_1.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ******** Table A3.2
. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", re 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1551.9703}  
Iteration 1:{space 3}log likelihood = {res:-1550.5997}  
Iteration 2:{space 3}log likelihood = {res:-1550.5974}  
Iteration 3:{space 3}log likelihood = {res:-1550.5974}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1360.0943}  
Iteration 1:{space 3}log likelihood = {res:-1039.0345}  
Iteration 2:{space 3}log likelihood = {res:-992.71912}  
Iteration 3:{space 3}log likelihood = {res:-987.03889}  
Iteration 4:{space 3}log likelihood = {res: -986.1314}  
Iteration 5:{space 3}log likelihood = {res:-986.06399}  
Iteration 6:{space 3}log likelihood = {res:-986.06328}  
Iteration 7:{space 3}log likelihood = {res:-986.06328}  
{res}
{txt}Random-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       288
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         7

{txt}Random effects u_i ~ {res}Gamma{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      41.1
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   145.48
{txt}Log likelihood  = {res}-986.06328{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .9692069{col 26}{space 2} .1855661{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4}  .605504{col 67}{space 3}  1.33291
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0626518{col 26}{space 2} .0257937{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .0120971{col 67}{space 3} .1132065
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0171225{col 26}{space 2} .0042287{col 37}{space 1}   -4.05{col 46}{space 3}0.000{col 54}{space 4}-.0254105{col 67}{space 3}-.0088344
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 3.696669{col 26}{space 2} .5495587{col 37}{space 1}    6.73{col 46}{space 3}0.000{col 54}{space 4} 2.619554{col 67}{space 3} 4.773784
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.2042882{col 26}{space 2} .0228792{col 37}{space 1}   -8.93{col 46}{space 3}0.000{col 54}{space 4}-.2491306{col 67}{space 3}-.1594459
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0086448{col 26}{space 2} .0014559{col 37}{space 1}   -5.94{col 46}{space 3}0.000{col 54}{space 4}-.0114984{col 67}{space 3}-.0057913
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006644{col 26}{space 2} .0003235{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.0012985{col 67}{space 3}-.0000303
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 139.0924{col 26}{space 2} 64.97888{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} 11.73612{col 67}{space 3} 266.4487
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} 1.458301{col 26}{space 2} .4339689{col 54}{space 4} .6077373{col 67}{space 3} 2.308864
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 4.298648{col 26}{space 2} 1.865479{col 54}{space 4} 1.836272{col 67}{space 3} 10.06299
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}1129.07{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. estimates store model1_at_re
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", re 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4178.9408}  
Iteration 1:{space 3}log likelihood = {res:-4175.7775}  
Iteration 2:{space 3}log likelihood = {res:-4175.7737}  
Iteration 3:{space 3}log likelihood = {res:-4175.7737}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2672.2245}  
Iteration 1:{space 3}log likelihood = {res:-2083.6014}  
Iteration 2:{space 3}log likelihood = {res:-2006.9504}  
Iteration 3:{space 3}log likelihood = {res:-2003.2554}  
Iteration 4:{space 3}log likelihood = {res:-2003.0097}  
Iteration 5:{space 3}log likelihood = {res:-2003.0073}  
Iteration 6:{space 3}log likelihood = {res:-2003.0073}  
{res}
{txt}Random-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       482
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        11

{txt}Random effects u_i ~ {res}Gamma{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      43.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   434.19
{txt}Log likelihood  = {res}-2003.0073{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} -.424002{col 26}{space 2} .0414074{col 37}{space 1}  -10.24{col 46}{space 3}0.000{col 54}{space 4} -.505159{col 67}{space 3} -.342845
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0839181{col 26}{space 2} .0085447{col 37}{space 1}   -9.82{col 46}{space 3}0.000{col 54}{space 4}-.1006655{col 67}{space 3}-.0671708
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0211858{col 26}{space 2} .0022084{col 37}{space 1}    9.59{col 46}{space 3}0.000{col 54}{space 4} .0168574{col 67}{space 3} .0255143
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0108684{col 26}{space 2} .0121252{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.0128966{col 67}{space 3} .0346334
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0002155{col 26}{space 2} .0003403{col 37}{space 1}    0.63{col 46}{space 3}0.526{col 54}{space 4}-.0004514{col 67}{space 3} .0008824
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0031714{col 26}{space 2} .0004235{col 37}{space 1}    7.49{col 46}{space 3}0.000{col 54}{space 4} .0023415{col 67}{space 3} .0040014
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006808{col 26}{space 2} .0001582{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-.0009909{col 67}{space 3}-.0003707
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 139.4642{col 26}{space 2} 31.86049{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} 77.01876{col 67}{space 3} 201.9096
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2}  1.25939{col 26}{space 2} .3635736{col 54}{space 4} .5467991{col 67}{space 3} 1.971982
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 3.523273{col 26}{space 2} 1.280969{col 54}{space 4} 1.727714{col 67}{space 3}   7.1849
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}4345.53{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. estimates store model1_be_re
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", re 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-6138.2761}  
Iteration 1:{space 3}log likelihood = {res:-6138.2175}  
Iteration 2:{space 3}log likelihood = {res:-6138.2175}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3593.2078}  
Iteration 1:{space 3}log likelihood = {res:-3455.9502}  
Iteration 2:{space 3}log likelihood = {res:-3454.7791}  
Iteration 3:{space 3}log likelihood = {res:-3454.7692}  
Iteration 4:{space 3}log likelihood = {res:-3454.7692}  
{res}
{txt}Random-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}     1,125
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        37

{txt}Random effects u_i ~ {res}Gamma{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      30.4
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    69.17
{txt}Log likelihood  = {res}-3454.7692{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1336401{col 26}{space 2} .0290024{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .0767964{col 67}{space 3} .1904838
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0024605{col 26}{space 2} .0047834{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-.0118357{col 67}{space 3} .0069147
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018877{col 26}{space 2} .0003651{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.0026032{col 67}{space 3}-.0011722
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0473469{col 26}{space 2} .0137745{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .0203494{col 67}{space 3} .0743445
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.001596{col 26}{space 2} .0009123{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4} -.003384{col 67}{space 3} .0001921
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0000946{col 26}{space 2} .0000269{col 37}{space 1}   -3.51{col 46}{space 3}0.000{col 54}{space 4}-.0001474{col 67}{space 3}-.0000418
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0005807{col 26}{space 2} .0002135{col 37}{space 1}   -2.72{col 46}{space 3}0.007{col 54}{space 4}-.0009991{col 67}{space 3}-.0001623
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 118.6794{col 26}{space 2} 42.91309{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4}  34.5713{col 67}{space 3} 202.7875
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2}   .89134{col 26}{space 2} .2123034{col 54}{space 4}  .475233{col 67}{space 3} 1.307447
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 2.438395{col 26}{space 2} .5176794{col 54}{space 4} 1.608389{col 67}{space 3} 3.696724
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}5366.90{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. estimates store model1_dk_re
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", re 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2376.3114}  
Iteration 1:{space 3}log likelihood = {res:-2297.3839}  
Iteration 2:{space 3}log likelihood = {res:-2297.2983}  
Iteration 3:{space 3}log likelihood = {res:-2297.2983}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1645.1424}  
Iteration 1:{space 3}log likelihood = {res:-1357.5407}  
Iteration 2:{space 3}log likelihood = {res:-1245.0922}  
Iteration 3:{space 3}log likelihood = {res:-1244.4249}  
Iteration 4:{space 3}log likelihood = {res:-1244.4247}  
Iteration 5:{space 3}log likelihood = {res:-1244.4247}  
{res}
{txt}Random-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       286
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}Random effects u_i ~ {res}Gamma{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.7
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   279.96
{txt}Log likelihood  = {res}-1244.4247{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}  .552358{col 26}{space 2} .0664152{col 37}{space 1}    8.32{col 46}{space 3}0.000{col 54}{space 4} .4221866{col 67}{space 3} .6825295
{txt}~pduration_c {c |}{col 14}{res}{space 2} .1276373{col 26}{space 2} .0702245{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0100001{col 67}{space 3} .2652747
{txt}~rduration_c {c |}{col 14}{res}{space 2} .0121462{col 26}{space 2} .2079796{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.3954863{col 67}{space 3} .4197787
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0604805{col 26}{space 2} .0287537{col 37}{space 1}   -2.10{col 46}{space 3}0.035{col 54}{space 4}-.1168367{col 67}{space 3}-.0041242
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0012636{col 26}{space 2} .0009672{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.0031592{col 67}{space 3}  .000632
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0002083{col 26}{space 2}  .000157{col 37}{space 1}   -1.33{col 46}{space 3}0.185{col 54}{space 4}-.0005161{col 67}{space 3} .0000995
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 45.07903{col 26}{space 2}  31.5113{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-16.68199{col 67}{space 3} 106.8401
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} 1.005153{col 26}{space 2} .5451948{col 54}{space 4}-.0634095{col 67}{space 3} 2.073715
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 2.732325{col 26}{space 2} 1.489649{col 54}{space 4}  .938559{col 67}{space 3} 7.954318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}2105.75{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. estimates store model1_de_re
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", re 

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1493.7883}  
Iteration 1:{space 3}log likelihood = {res:-1493.7096}  
Iteration 2:{space 3}log likelihood = {res:-1493.7095}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1376.5377}  
Iteration 1:{space 3}log likelihood = {res:-1359.5162}  
Iteration 2:{space 3}log likelihood = {res:-1357.0862}  
Iteration 3:{space 3}log likelihood = {res:-1357.0715}  
Iteration 4:{space 3}log likelihood = {res:-1357.0715}  
{res}
{txt}Random-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       883
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        20

{txt}Random effects u_i ~ {res}Gamma{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.1
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    63.14
{txt}Log likelihood  = {res}-1357.0715{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .3933474{col 26}{space 2} .0875971{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .2216603{col 67}{space 3} .5650345
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0686555{col 26}{space 2} .0304956{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0088851{col 67}{space 3} .1284258
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0046699{col 26}{space 2} .0023163{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.0092098{col 67}{space 3}  -.00013
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0851597{col 26}{space 2} .0271737{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0319004{col 67}{space 3} .1384191
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0024098{col 26}{space 2} .0006479{col 37}{space 1}   -3.72{col 46}{space 3}0.000{col 54}{space 4}-.0036797{col 67}{space 3}-.0011399
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0002016{col 26}{space 2} .0001934{col 37}{space 1}    1.04{col 46}{space 3}0.297{col 54}{space 4}-.0001774{col 67}{space 3} .0005805
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0009559{col 26}{space 2} .0002256{col 37}{space 1}   -4.24{col 46}{space 3}0.000{col 54}{space 4}-.0013981{col 67}{space 3}-.0005137
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 191.8703{col 26}{space 2} 45.31578{col 37}{space 1}    4.23{col 46}{space 3}0.000{col 54}{space 4}  103.053{col 67}{space 3} 280.6876
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2}-.5475243{col 26}{space 2}  .345782{col 54}{space 4}-1.225245{col 67}{space 3}  .130196
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2}   .57838{col 26}{space 2} .1999934{col 54}{space 4} .2936859{col 67}{space 3} 1.139052
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}273.28{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. estimates store model1_esp_re
{txt}
{com}. 
. hausman model1_esp_re model1_esp

{txt}{col 18}{hline 4} Coefficients {hline 4}
{col 14}{c |}{col 21}(b){col 34}(B){col 49}(b-B){col 59}sqrt(diag(V_b-V_B))
{col 14}{c |}{col 17}model1_esp~e{col 30} model1_esp {col 46}Difference{col 66}S.E.
{hline 13}{c +}{hline 64}
2.minis~nder {c |}{res}{col 18} .3933474{col 31} .4016993{col 47}-.0083519{col 63}        .
{txt}~pduration_c {c |}{res}{col 18} .0686555{col 31} .0706811{col 47}-.0020256{col 63}        .
{txt}{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{res}{col 18}-.0046699{col 31}-.0055958{col 47} .0009259{col 63}        .
{txt}~rduration_c {c |}{res}{col 18} .0851597{col 31} .0838243{col 47} .0013354{col 63}        .
{txt}{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{res}{col 18}-.0024098{col 31}-.0023695{col 47}-.0000403{col 63}        .
{txt}~fduration_c {c |}{res}{col 18} .0002016{col 31} .0001344{col 47} .0000672{col 63}        .
{txt}{space 2}year_month {c |}{res}{col 18}-.0009559{col 31}-.0012959{col 47}   .00034{col 63}        .
{txt}{hline 13}{c BT}{hline 64}
{ralign 78:b = consistent under Ho and Ha; obtained from xtpoisson}
{ralign 78:B = inconsistent under Ha, efficient under Ho; obtained from xtpoisson}

    Test:  Ho:  difference in coefficients not systematic

{ralign 25:chi2({res:7})} = (b-B)'[(V_b-V_B)^(-1)](b-B)
{col 27}={res}    -1.32{txt}{col 41}chi2<0 ==> model fitted on these
{col 41}data fails to meet the asymptotic
{col 41}assumptions of the Hausman test;
{col 41}see {help suest##|_new:suest} for a generalized test

{com}. hausman model1_at_re model1_at

{txt}{p 0 8}Note: the rank of the differenced variance matrix ({result:2}) does not equal the number of coefficients being tested ({result:7}); be sure this is what you expect, or there may be problems computing the test.  Examine the output of your estimators for anything unexpected and possibly consider scaling your variables so that the coefficients are on a similar scale.

{col 18}{hline 4} Coefficients {hline 4}
{col 14}{c |}{col 21}(b){col 34}(B){col 49}(b-B){col 59}sqrt(diag(V_b-V_B))
{col 14}{c |}{col 17}model1_at_re{col 30} model1_at  {col 46}Difference{col 66}S.E.
{hline 13}{c +}{hline 64}
2.minis~nder {c |}{res}{col 18} .9692069{col 31} .9590056{col 47} .0102013{col 63}        .
{txt}~pduration_c {c |}{res}{col 18} .0626518{col 31} .0610091{col 47} .0016427{col 63}        .
{txt}{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{res}{col 18}-.0171225{col 31}-.0169047{col 47}-.0002178{col 63}        .
{txt}~rduration_c {c |}{res}{col 18} 3.696669{col 31} 7.789769{col 47}  -4.0931{col 63}        .
{txt}{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{res}{col 18}-.2042882{col 31}-.2037238{col 47}-.0005644{col 63}        .
{txt}~fduration_c {c |}{res}{col 18}-.0086448{col 31} -.019879{col 47} .0112341{col 63}        .
{txt}{space 2}year_month {c |}{res}{col 18}-.0006644{col 31}-.0007244{col 47}   .00006{col 63}        .
{txt}{hline 13}{c BT}{hline 64}
{ralign 78:b = consistent under Ho and Ha; obtained from xtpoisson}
{ralign 78:B = inconsistent under Ha, efficient under Ho; obtained from xtpoisson}

    Test:  Ho:  difference in coefficients not systematic

{ralign 25:chi2({res:2})} = (b-B)'[(V_b-V_B)^(-1)](b-B)
{col 27}={res}    -0.16{txt}{col 41}chi2<0 ==> model fitted on these
{col 41}data fails to meet the asymptotic
{col 41}assumptions of the Hausman test;
{col 41}see {help suest##|_new:suest} for a generalized test

{com}. hausman model1_dk_re model1_dk

{txt}{col 18}{hline 4} Coefficients {hline 4}
{col 14}{c |}{col 21}(b){col 34}(B){col 49}(b-B){col 59}sqrt(diag(V_b-V_B))
{col 14}{c |}{col 17}model1_dk_re{col 30} model1_dk  {col 46}Difference{col 66}S.E.
{hline 13}{c +}{hline 64}
2.minis~nder {c |}{res}{col 18} .1336401{col 31}   .13915{col 47}-.0055098{col 63}        .
{txt}~pduration_c {c |}{res}{col 18}-.0024605{col 31}-.0038079{col 47} .0013474{col 63}        .
{txt}{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{res}{col 18}-.0018877{col 31}-.0018571{col 47}-.0000306{col 63}        .
{txt}~rduration_c {c |}{res}{col 18} .0473469{col 31} .0513812{col 47}-.0040343{col 63}        .
{txt}{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{res}{col 18} -.001596{col 31}-.0017123{col 47} .0001164{col 63}        .
{txt}~fduration_c {c |}{res}{col 18}-.0000946{col 31}-.0001079{col 47} .0000133{col 63}        .
{txt}{space 2}year_month {c |}{res}{col 18}-.0005807{col 31}-.0008163{col 47} .0002356{col 63}        .
{txt}{hline 13}{c BT}{hline 64}
{ralign 78:b = consistent under Ho and Ha; obtained from xtpoisson}
{ralign 78:B = inconsistent under Ha, efficient under Ho; obtained from xtpoisson}

    Test:  Ho:  difference in coefficients not systematic

{ralign 25:chi2({res:7})} = (b-B)'[(V_b-V_B)^(-1)](b-B)
{col 27}=  {res}    125.55
{txt}{col 17}Prob>chi2 =  {res}    0.0000
{txt}{col 17}(V_b-V_B is not positive definite)

{com}. hausman model1_be_re model1_be

{txt}{col 18}{hline 4} Coefficients {hline 4}
{col 14}{c |}{col 21}(b){col 34}(B){col 49}(b-B){col 59}sqrt(diag(V_b-V_B))
{col 14}{c |}{col 17}model1_be_re{col 30} model1_be  {col 46}Difference{col 66}S.E.
{hline 13}{c +}{hline 64}
2.minis~nder {c |}{res}{col 18} -.424002{col 31}-.4348926{col 47} .0108906{col 63} .0014046
{txt}~pduration_c {c |}{res}{col 18}-.0839181{col 31}-.0853918{col 47} .0014737{col 63}        .
{txt}{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{res}{col 18} .0211858{col 31} .0210982{col 47} .0000876{col 63}        .
{txt}~rduration_c {c |}{res}{col 18} .0108684{col 31} .0097457{col 47} .0011227{col 63}        .
{txt}{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{res}{col 18} .0002155{col 31} .0002576{col 47}-.0000421{col 63}        .
{txt}~fduration_c {c |}{res}{col 18} .0031714{col 31} .0031673{col 47} 4.16e-06{col 63}        .
{txt}{space 2}year_month {c |}{res}{col 18}-.0006808{col 31}-.0007551{col 47} .0000743{col 63}        .
{txt}{hline 13}{c BT}{hline 64}
{ralign 78:b = consistent under Ho and Ha; obtained from xtpoisson}
{ralign 78:B = inconsistent under Ha, efficient under Ho; obtained from xtpoisson}

    Test:  Ho:  difference in coefficients not systematic

{ralign 25:chi2({res:7})} = (b-B)'[(V_b-V_B)^(-1)](b-B)
{col 27}=  {res}    124.22
{txt}{col 17}Prob>chi2 =  {res}    0.0000
{txt}{col 17}(V_b-V_B is not positive definite)

{com}. hausman model1_de_re model1_de

{txt}{p 0 8}Note: the rank of the differenced variance matrix ({result:3}) does not equal the number of coefficients being tested ({result:6}); be sure this is what you expect, or there may be problems computing the test.  Examine the output of your estimators for anything unexpected and possibly consider scaling your variables so that the coefficients are on a similar scale.

{col 18}{hline 4} Coefficients {hline 4}
{col 14}{c |}{col 21}(b){col 34}(B){col 49}(b-B){col 59}sqrt(diag(V_b-V_B))
{col 14}{c |}{col 17}model1_de_re{col 30} model1_de  {col 46}Difference{col 66}S.E.
{hline 13}{c +}{hline 64}
2.minis~nder {c |}{res}{col 18}  .552358{col 31} 1.017401{col 47}-.4650429{col 63}        .
{txt}~pduration_c {c |}{res}{col 18} .1276373{col 31}-11.31901{col 47} 11.44664{col 63}        .
{txt}~rduration_c {c |}{res}{col 18} .0121462{col 31}-34.98533{col 47} 34.99747{col 63}        .
{txt}{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{res}{col 18}-.0604805{col 31} 4.753276{col 47}-4.813756{col 63}        .
{txt}~fduration_c {c |}{res}{col 18}-.0012636{col 31} .1574623{col 47}-.1587259{col 63}        .
{txt}{space 2}year_month {c |}{res}{col 18}-.0002083{col 31}-.0002897{col 47} .0000814{col 63}        .
{txt}{hline 13}{c BT}{hline 64}
{ralign 78:b = consistent under Ho and Ha; obtained from xtpoisson}
{ralign 78:B = inconsistent under Ha, efficient under Ho; obtained from xtpoisson}

    Test:  Ho:  difference in coefficients not systematic

{ralign 25:chi2({res:3})} = (b-B)'[(V_b-V_B)^(-1)](b-B)
{col 27}={res}   -57.87{txt}{col 41}chi2<0 ==> model fitted on these
{col 41}data fails to meet the asymptotic
{col 41}assumptions of the Hausman test;
{col 41}see {help suest##|_new:suest} for a generalized test

{com}. 
. 
. **** Table A3.2
. esttab model1_at_re model1_be_re model1_dk_re model1_de_re model1_esp_re using table_app3_2.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app3_2.rtf not found)
(output written to {browse  `"table_app3_2.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ******* Table A3.3/FIGURE 4
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_highprestigeportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1889.3997}  
Iteration 2:{space 3}log likelihood = {res:-1879.2632}  
Iteration 3:{space 3}log likelihood = {res:-1879.0758}  
Iteration 4:{space 3}log likelihood = {res:-1879.0758}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1879.0758{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.9848311{col 26}{space 2} .0827597{col 37}{space 1}  -11.90{col 46}{space 3}0.000{col 54}{space 4}-1.147037{col 67}{space 3}-.8226251
{txt}1.ministry.. {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_h.. {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} 1.788358{col 26}{space 2} .2148931{col 37}{space 1}    8.32{col 46}{space 3}0.000{col 54}{space 4} 1.367175{col 67}{space 3} 2.209541
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0983832{col 26}{space 2} .0100403{col 37}{space 1}   -9.80{col 46}{space 3}0.000{col 54}{space 4}-.1180617{col 67}{space 3}-.0787047
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0465231{col 26}{space 2}  .004524{col 37}{space 1}   10.28{col 46}{space 3}0.000{col 54}{space 4} .0376563{col 67}{space 3} .0553899
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .2461856{col 26}{space 2} .0331167{col 37}{space 1}    7.43{col 46}{space 3}0.000{col 54}{space 4} .1812781{col 67}{space 3} .3110932
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.006626{col 26}{space 2} .0009578{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-.0085032{col 67}{space 3}-.0047488
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0023684{col 26}{space 2} .0004361{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .0015138{col 67}{space 3} .0032231
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0012676{col 26}{space 2} .0001691{col 37}{space 1}   -7.50{col 46}{space 3}0.000{col 54}{space 4} -.001599{col 67}{space 3}-.0009362
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model2_be
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_highprestigeportfolio=(0 1 )) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       428
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_highprestigeportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_highprestigeportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.9848311{col 26}{space 2} .0827597{col 37}{space 1}  -11.90{col 46}{space 3}0.000{col 54}{space 4}-1.147037{col 67}{space 3}-.8226251
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8035271{col 26}{space 2}  .155362{col 37}{space 1}    5.17{col 46}{space 3}0.000{col 54}{space 4}  .499023{col 67}{space 3} 1.108031
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Belgium) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"no" 1"yes", noticks) ytitle("minister = woman") xtitle("ministry of high prestige") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_highprestigeportfolio{p_end}
{res}{txt}
{com}. graph save figure_model2_be.gph,replace
{txt}(note: file figure_model2_be.gph not found)
{res}{txt}(file figure_model2_be.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_highprestigeportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3227.7099}  
Iteration 2:{space 3}log likelihood = {res:-3227.6742}  
Iteration 3:{space 3}log likelihood = {res:-3227.6742}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-3227.6742{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1316956{col 26}{space 2} .0351318{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0628385{col 67}{space 3} .2005527
{txt}1.ministry.. {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_h.. {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} .0297239{col 26}{space 2} .0789807{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.1250754{col 67}{space 3} .1845232
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0027277{col 26}{space 2} .0055951{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4} -.013694{col 67}{space 3} .0082385
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018471{col 26}{space 2} .0003671{col 37}{space 1}   -5.03{col 46}{space 3}0.000{col 54}{space 4}-.0025667{col 67}{space 3}-.0011276
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0483751{col 26}{space 2} .0159903{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0170347{col 67}{space 3} .0797155
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0016228{col 26}{space 2} .0009466{col 37}{space 1}   -1.71{col 46}{space 3}0.086{col 54}{space 4}-.0034781{col 67}{space 3} .0002325
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001037{col 26}{space 2} .0000292{col 37}{space 1}   -3.55{col 46}{space 3}0.000{col 54}{space 4}-.0001609{col 67}{space 3}-.0000464
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0008027{col 26}{space 2} .0002186{col 37}{space 1}   -3.67{col 46}{space 3}0.000{col 54}{space 4}-.0012312{col 67}{space 3}-.0003743
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model2_dk
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_highprestigeportfolio=(0 1 )) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       973
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_highprestigeportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_highprestigeportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1316956{col 26}{space 2} .0351318{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0628385{col 67}{space 3} .2005527
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1614195{col 26}{space 2} .0659092{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0322399{col 67}{space 3} .2905991
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Denmark) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"no" 1"yes", noticks) ytitle("minister = woman") xtitle("ministry of high prestige") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_highprestigeportfolio{p_end}
{res}{txt}
{com}. graph save figure_model2_dk.gph,replace
{txt}(note: file figure_model2_dk.gph not found)
{res}{txt}(file figure_model2_dk.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_highprestigeportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1256.1491}  
Iteration 2:{space 3}log likelihood = {res:-1255.8402}  
Iteration 3:{space 3}log likelihood = {res:  -1255.84}  
Iteration 4:{space 3}log likelihood = {res:  -1255.84}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}  -1255.84{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2207959{col 26}{space 2} .1063412{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0123711{col 67}{space 3} .4292207
{txt}1.ministry.. {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_h.. {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} .6293192{col 26}{space 2} .1885095{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .2598474{col 67}{space 3}  .998791
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0851611{col 26}{space 2} .0338685{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0187801{col 67}{space 3} .1515421
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0063203{col 26}{space 2} .0024407{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.0111041{col 67}{space 3}-.0015365
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0883368{col 26}{space 2} .0280161{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0334263{col 67}{space 3} .1432473
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0026232{col 26}{space 2} .0006743{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.0039447{col 67}{space 3}-.0013016
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001957{col 26}{space 2} .0002162{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4} -.000228{col 67}{space 3} .0006194
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0017226{col 26}{space 2} .0003365{col 37}{space 1}   -5.12{col 46}{space 3}0.000{col 54}{space 4}-.0023821{col 67}{space 3} -.001063
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model2_esp
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_highprestigeportfolio=(0 1 )) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       852
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_highprestigeportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_highprestigeportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2207959{col 26}{space 2} .1063412{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0123711{col 67}{space 3} .4292207
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8501151{col 26}{space 2} .1617061{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .5331769{col 67}{space 3} 1.167053
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Spain) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"no" 1"yes", noticks) ytitle("minister = woman") xtitle("ministry of high prestige") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_highprestigeportfolio{p_end}
{res}{txt}
{com}. graph save figure_model2_esp.gph,replace
{txt}(note: file figure_model2_esp.gph not found)
{res}{txt}(file figure_model2_esp.gph saved)

{com}. 
. **** Figure 4
. graph combine figure_model2_be.gph figure_model2_dk.gph figure_model2_esp.gph , cols(3) graphregion(color(white)) 
{res}{txt}
{com}. graph save Figure4.gph, replace
{txt}(note: file Figure4.gph not found)
{res}{txt}(file Figure4.gph saved)

{com}. 
. **** Table A3.3
. esttab model2_be model2_dk model2_esp using table_app3_3.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app3_3.rtf not found)
(output written to {browse  `"table_app3_3.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ********Table A3.4
. 
. xtpoisson ministry_questions_written i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1445.9263}  
Iteration 1:{space 3}log likelihood = {res:  -957.209}  
Iteration 2:{space 3}log likelihood = {res:-923.11846}  
Iteration 3:{space 3}log likelihood = {res: -915.1642}  
Iteration 4:{space 3}log likelihood = {res:-913.40392}  
Iteration 5:{space 3}log likelihood = {res:-913.02913}  
Iteration 6:{space 3}log likelihood = {res:-912.96854}  
Iteration 7:{space 3}log likelihood = {res:-912.95377}  
Iteration 8:{space 3}log likelihood = {res:-912.95069}  
Iteration 9:{space 3}log likelihood = {res:-912.95004}  
Iteration 10:{space 2}log likelihood = {res:-912.94989}  
Iteration 11:{space 2}log likelihood = {res:-912.94986}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       288
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         7

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      41.1
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   112.45
{txt}Log likelihood  = {res}-912.94986{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_q~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .8141854{col 26}{space 2} .1900077{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .4417772{col 67}{space 3} 1.186594
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0414208{col 26}{space 2}  .026375{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.0102732{col 67}{space 3} .0931148
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0142316{col 26}{space 2} .0043198{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-.0226981{col 67}{space 3} -.005765
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 7.262502{col 26}{space 2} 117.4319{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-222.8998{col 67}{space 3} 237.4248
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.1948459{col 26}{space 2} .0233379{col 37}{space 1}   -8.35{col 46}{space 3}0.000{col 54}{space 4}-.2405874{col 67}{space 3}-.1491044
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0186178{col 26}{space 2} .3217309{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4}-.6491988{col 67}{space 3} .6119633
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006525{col 26}{space 2} .0003347{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.0013086{col 67}{space 3} 3.53e-06
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model3_at
{txt}
{com}. 
. xtpoisson ministry_questions_written i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2139.4936}  
Iteration 1:{space 3}log likelihood = {res:-1882.1075}  
Iteration 2:{space 3}log likelihood = {res:-1878.7702}  
Iteration 3:{space 3}log likelihood = {res:-1878.7546}  
Iteration 4:{space 3}log likelihood = {res:-1878.7546}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   428.29
{txt}Log likelihood  = {res}-1878.7546{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_q~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.4756211{col 26}{space 2} .0430563{col 37}{space 1}  -11.05{col 46}{space 3}0.000{col 54}{space 4}  -.56001{col 67}{space 3}-.3912322
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0889544{col 26}{space 2} .0090529{col 37}{space 1}   -9.83{col 46}{space 3}0.000{col 54}{space 4}-.1066978{col 67}{space 3} -.071211
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0230002{col 26}{space 2} .0024491{col 37}{space 1}    9.39{col 46}{space 3}0.000{col 54}{space 4} .0182001{col 67}{space 3} .0278003
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}  .013355{col 26}{space 2} .0130451{col 37}{space 1}    1.02{col 46}{space 3}0.306{col 54}{space 4}-.0122129{col 67}{space 3} .0389229
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0001578{col 26}{space 2} .0003655{col 37}{space 1}    0.43{col 46}{space 3}0.666{col 54}{space 4}-.0005586{col 67}{space 3} .0008741
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0037081{col 26}{space 2} .0004612{col 37}{space 1}    8.04{col 46}{space 3}0.000{col 54}{space 4} .0028042{col 67}{space 3}  .004612
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007931{col 26}{space 2} .0001625{col 37}{space 1}   -4.88{col 46}{space 3}0.000{col 54}{space 4}-.0011117{col 67}{space 3}-.0004745
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model3_be
{txt}
{com}. 
. xtpoisson ministry_questions_written i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 12 groups (236 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2865.0993}  
Iteration 1:{space 3}log likelihood = {res:-2834.6906}  
Iteration 2:{space 3}log likelihood = {res:-2834.6547}  
Iteration 3:{space 3}log likelihood = {res:-2834.6547}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       663
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        25

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      26.5
{txt}{col 63}max{col 67}={col 69}{res}        40

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    59.11
{txt}Log likelihood  = {res}-2834.6547{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_q~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1024353{col 26}{space 2} .0312291{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .0412274{col 67}{space 3} .1636432
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0002955{col 26}{space 2} .0049809{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-.0100579{col 67}{space 3} .0094669
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019689{col 26}{space 2} .0003868{col 37}{space 1}   -5.09{col 46}{space 3}0.000{col 54}{space 4} -.002727{col 67}{space 3}-.0012108
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0458241{col 26}{space 2} .0145418{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0173227{col 67}{space 3} .0743256
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0016603{col 26}{space 2} .0009358{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4}-.0034943{col 67}{space 3} .0001738
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  -.00009{col 26}{space 2}  .000028{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-.0001448{col 67}{space 3}-.0000351
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0005347{col 26}{space 2} .0002434{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.0010117{col 67}{space 3}-.0000577
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model3_dk
{txt}
{com}. 
. xtpoisson ministry_questions_written i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1224.0713}  
Iteration 1:{space 3}log likelihood = {res:-1059.2398}  
Iteration 2:{space 3}log likelihood = {res: -1056.834}  
Iteration 3:{space 3}log likelihood = {res:-1056.8311}  
Iteration 4:{space 3}log likelihood = {res:-1056.8311}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   287.17
{txt}Log likelihood  = {res}-1056.8311{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_q~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .9628041{col 26}{space 2} .1001025{col 37}{space 1}    9.62{col 46}{space 3}0.000{col 54}{space 4} .7666068{col 67}{space 3} 1.159001
{txt}~pduration_c {c |}{col 14}{res}{space 2}-9.299848{col 26}{space 2} 1.656561{col 37}{space 1}   -5.61{col 46}{space 3}0.000{col 54}{space 4}-12.54665{col 67}{space 3}-6.053048
{txt}~rduration_c {c |}{col 14}{res}{space 2}-28.91251{col 26}{space 2} 5.064522{col 37}{space 1}   -5.71{col 46}{space 3}0.000{col 54}{space 4}-38.83879{col 67}{space 3}-18.98623
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 3.915975{col 26}{space 2} .6965319{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} 2.550797{col 67}{space 3} 5.281152
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1298271{col 26}{space 2} .0229704{col 37}{space 1}    5.65{col 46}{space 3}0.000{col 54}{space 4} .0848059{col 67}{space 3} .1748482
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0001671{col 26}{space 2} .0001727{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.0005057{col 67}{space 3} .0001714
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model3_de
{txt}
{com}. 
. *********** Table A3.4
. esttab model3_at model3_be model3_dk model3_de using table_app3_4.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app3_4.rtf not found)
(output written to {browse  `"table_app3_4.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ********Table A3.5/FIGURE 5
. xtnbreg ministry_questions_oral i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{txt}note: 1 group (44 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-77.765318}  
Iteration 1:{space 3}log likelihood = {res:-30.621581}  
Iteration 2:{space 3}log likelihood = {res:-27.036985}  
Iteration 3:{space 3}log likelihood = {res:-24.594304}  
Iteration 4:{space 3}log likelihood = {res:  -24.4472}  
Iteration 5:{space 3}log likelihood = {res:-24.414441}  
Iteration 6:{space 3}log likelihood = {res:-24.414004}  
Iteration 7:{space 3}log likelihood = {res:-24.414004}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       244
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      40.7
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}     7.05
{txt}Log likelihood  = {res}-24.414004{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.4233

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry~ral{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 4.943812{col 26}{space 2} 3.982897{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-2.862524{col 67}{space 3} 12.75015
{txt}~pduration_c {c |}{col 14}{res}{space 2} .6947059{col 26}{space 2} .6903505{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4}-.6583562{col 67}{space 3} 2.047768
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0928062{col 26}{space 2} .0993247{col 37}{space 1}   -0.93{col 46}{space 3}0.350{col 54}{space 4} -.287479{col 67}{space 3} .1018667
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 2.379827{col 26}{space 2} 1.896181{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4} -1.33662{col 67}{space 3} 6.096274
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0942483{col 26}{space 2} .4556744{col 37}{space 1}   -0.21{col 46}{space 3}0.836{col 54}{space 4}-.9873537{col 67}{space 3} .7988571
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0022977{col 26}{space 2} .0043645{col 37}{space 1}   -0.53{col 46}{space 3}0.599{col 54}{space 4}-.0108521{col 67}{space 3} .0062566
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0127478{col 26}{space 2} .0048554{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.0222643{col 67}{space 3}-.0032314
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2548.803{col 26}{space 2} 972.7607{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} 642.2274{col 67}{space 3} 4455.379
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model4_at
{txt}
{com}. 
. xtnbreg ministry_questions_oral i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 2 groups (108 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-435.17555}  
Iteration 1:{space 3}log likelihood = {res:-422.43685}  
Iteration 2:{space 3}log likelihood = {res:-420.42061}  
Iteration 3:{space 3}log likelihood = {res: -420.4082}  
Iteration 4:{space 3}log likelihood = {res:-420.40819}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       374
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         9

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      41.6
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    16.75
{txt}Log likelihood  = {res}-420.40819{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0191

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry~ral{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .0662455{col 26}{space 2}  .240311{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4}-.4047553{col 67}{space 3} .5372463
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0546201{col 26}{space 2} .0385777{col 37}{space 1}   -1.42{col 46}{space 3}0.157{col 54}{space 4} -.130231{col 67}{space 3} .0209908
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0061259{col 26}{space 2} .0062087{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0060429{col 67}{space 3} .0182946
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0543541{col 26}{space 2} .0441319{col 37}{space 1}   -1.23{col 46}{space 3}0.218{col 54}{space 4} -.140851{col 67}{space 3} .0321428
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0017423{col 26}{space 2} .0012395{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4} -.000687{col 67}{space 3} .0041717
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0002048{col 26}{space 2} .0015249{col 37}{space 1}   -0.13{col 46}{space 3}0.893{col 54}{space 4}-.0031935{col 67}{space 3} .0027839
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}  .000232{col 26}{space 2} .0002713{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0002996{col 67}{space 3} .0007637
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-46.63718{col 26}{space 2} 54.36233{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-153.1854{col 67}{space 3} 59.91103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model4_be
{txt}
{com}. 
. xtnbreg ministry_questions_oral i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe
{txt}note: 26 groups (701 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-577.00494}  
Iteration 1:{space 3}log likelihood = {res:-448.49913}  
Iteration 2:{space 3}log likelihood = {res:-291.14323}  
Iteration 3:{space 3}log likelihood = {res:-272.82073}  
Iteration 4:{space 3}log likelihood = {res:-267.35712}  
Iteration 5:{space 3}log likelihood = {res:-267.24334}  
Iteration 6:{space 3}log likelihood = {res: -267.2432}  
Iteration 7:{space 3}log likelihood = {res: -267.2432}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       198
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        11

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}      18.0
{txt}{col 63}max{col 67}={col 69}{res}        40

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    81.96
{txt}Log likelihood  = {res} -267.2432{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry~ral{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .5398065{col 26}{space 2} .2442287{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4}  .061127{col 67}{space 3} 1.018486
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0354569{col 26}{space 2} .0297271{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4} -.093721{col 67}{space 3} .0228071
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0104237{col 26}{space 2}   .00461{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0013883{col 67}{space 3} .0194592
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .2021412{col 26}{space 2} .0690673{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .0667719{col 67}{space 3} .3375106
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0354986{col 26}{space 2} .0450928{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.1238789{col 67}{space 3} .0528818
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0007763{col 26}{space 2} .0003353{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-.0014335{col 67}{space 3}-.0001191
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0042392{col 26}{space 2} .0008218{col 37}{space 1}   -5.16{col 46}{space 3}0.000{col 54}{space 4}-.0058498{col 67}{space 3}-.0026286
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 848.3311{col 26}{space 2} 164.2707{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} 526.3664{col 67}{space 3} 1170.296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model4_dk
{txt}
{com}. 
. xtpoisson ministry_questions_oral i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-913.42695}  
Iteration 1:{space 3}log likelihood = {res:-860.78748}  
Iteration 2:{space 3}log likelihood = {res:-859.82988}  
Iteration 3:{space 3}log likelihood = {res:-859.82791}  
Iteration 4:{space 3}log likelihood = {res:-859.82791}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    96.72
{txt}Log likelihood  = {res}-859.82791{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry~ral{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.284311{col 26}{space 2} .2135219{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .8658153{col 67}{space 3} 1.702806
{txt}~pduration_c {c |}{col 14}{res}{space 2}-18.52411{col 26}{space 2} 3.220665{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4} -24.8365{col 67}{space 3}-12.21173
{txt}~rduration_c {c |}{col 14}{res}{space 2}-56.73142{col 26}{space 2}  9.85909{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4}-76.05489{col 67}{space 3}-37.40796
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 7.749467{col 26}{space 2} 1.355022{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} 5.093673{col 67}{space 3} 10.40526
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}   .25605{col 26}{space 2} .0446698{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} .1684988{col 67}{space 3} .3436012
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0009726{col 26}{space 2}  .000408{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.0017723{col 67}{space 3}-.0001729
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model4_de
{txt}
{com}. 
. 
. 
. ********** Figure 5
. coefplot (model4_at, label(M 2, Austria) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  (model4_de, label(M 2, Germany) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  (model4_dk, label(M 2, Denmark) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  (model4_be, label(M 2, Belgium) msymbol(O) mcolor(black) msize(small) ciopts( lwidth(0.1) mcolor(gs10))) ///
>  , keep( *.minister_gender) legend(cols(1) region(lcolor(none))) xline(0, lpattern(dash) lcolor(gs12)) legend(off) title() ylabel( 1.1"Denmark" 0.9"Germany" 1.3"Belgium" 0.7"Austria",noticks) xlabel(,noticks) graphregion(color(white)) 
{res}{txt}
{com}. graph save figure5.gph, replace
{txt}(note: file figure5.gph not found)
{res}{txt}(file figure5.gph saved)

{com}. 
. 
. *******Table A3.5
. esttab model4_at model4_be model4_dk model4_de using table_app3_5.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app3_5.rtf not found)
(output written to {browse  `"table_app3_5.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ******************************************************************************************
. ****************************** APPENDIX 4 ******************************
. ******************************************************************************************
. 
. 
. 
. 
. 
. 
. *** Section: Omitted variable bias
. 
. 
. *** Test 1: Additional confounder for political outsiders
. *** Table A4.2
. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c i.minister_outsider year_month if country=="denmark" , fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3226.9347}  
Iteration 2:{space 3}log likelihood = {res:-3226.8972}  
Iteration 3:{space 3}log likelihood = {res:-3226.8972}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}    78.01
{txt}Log likelihood  = {res}-3226.8972{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}  .138074{col 26}{space 2} .0290377{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .0811612{col 67}{space 3} .1949868
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0026015{col 26}{space 2}  .004888{col 37}{space 1}   -0.53{col 46}{space 3}0.595{col 54}{space 4}-.0121817{col 67}{space 3} .0069788
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019859{col 26}{space 2} .0003792{col 37}{space 1}   -5.24{col 46}{space 3}0.000{col 54}{space 4}-.0027291{col 67}{space 3}-.0012426
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}  .055902{col 26}{space 2} .0142799{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .0279139{col 67}{space 3} .0838901
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0020709{col 26}{space 2} .0009571{col 37}{space 1}   -2.16{col 46}{space 3}0.030{col 54}{space 4}-.0039469{col 67}{space 3} -.000195
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0000992{col 26}{space 2} .0000278{col 37}{space 1}   -3.57{col 46}{space 3}0.000{col 54}{space 4}-.0001537{col 67}{space 3}-.0000447
{txt}1.minis~ider {c |}{col 14}{res}{space 2} .1866766{col 26}{space 2} .1437099{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0949898{col 67}{space 3} .4683429
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0008028{col 26}{space 2} .0002158{col 37}{space 1}   -3.72{col 46}{space 3}0.000{col 54}{space 4}-.0012258{col 67}{space 3}-.0003798
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc1_dk
{txt}
{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c i.minister_outsider year_month if country=="spain" , fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1260.5734}  
Iteration 2:{space 3}log likelihood = {res:-1260.2641}  
Iteration 3:{space 3}log likelihood = {res:-1260.2639}  
Iteration 4:{space 3}log likelihood = {res:-1260.2639}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}    64.74
{txt}Log likelihood  = {res}-1260.2639{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4204366{col 26}{space 2} .0930578{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4} .2380466{col 67}{space 3} .6028267
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0665468{col 26}{space 2} .0347859{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0016324{col 67}{space 3}  .134726
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0054126{col 26}{space 2} .0025033{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4} -.010319{col 67}{space 3}-.0005063
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0619737{col 26}{space 2} .0314374{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0003576{col 67}{space 3} .1235899
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0019169{col 26}{space 2} .0007331{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.0033538{col 67}{space 3}-.0004799
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001063{col 26}{space 2} .0002161{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.0003173{col 67}{space 3} .0005299
{txt}1.minis~ider {c |}{col 14}{res}{space 2}-.2511966{col 26}{space 2} .1603792{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4}-.5655341{col 67}{space 3} .0631409
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0012327{col 26}{space 2} .0003143{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-.0018487{col 67}{space 3}-.0006166
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc1_esp
{txt}
{com}. 
. 
. ******** Table A3.1
. esttab model_rc1_dk model_rc1_esp using table_app4_2.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_2.rtf not found)
(output written to {browse  `"table_app4_2.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. *** Test 2: Additional confounder for technocrats
. *** Table A4.3
. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c i.minister_technocrat year_month if country=="denmark" , fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3227.5084}  
Iteration 2:{space 3}log likelihood = {res:-3227.4726}  
Iteration 3:{space 3}log likelihood = {res:-3227.4726}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}    76.93
{txt}Log likelihood  = {res}-3227.4726{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1385838{col 26}{space 2} .0290334{col 37}{space 1}    4.77{col 46}{space 3}0.000{col 54}{space 4} .0816795{col 67}{space 3} .1954882
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0030927{col 26}{space 2} .0048962{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-.0126891{col 67}{space 3} .0065037
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019295{col 26}{space 2}  .000379{col 37}{space 1}   -5.09{col 46}{space 3}0.000{col 54}{space 4}-.0026723{col 67}{space 3}-.0011868
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0537995{col 26}{space 2} .0142298{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .0259095{col 67}{space 3} .0816895
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0019097{col 26}{space 2} .0009545{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-.0037804{col 67}{space 3} -.000039
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001027{col 26}{space 2} .0000279{col 37}{space 1}   -3.68{col 46}{space 3}0.000{col 54}{space 4}-.0001574{col 67}{space 3}-.0000481
{txt}1.ministe~at {c |}{col 14}{res}{space 2} .1064671{col 26}{space 2} .1444499{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4}-.1766495{col 67}{space 3} .3895838
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0008074{col 26}{space 2} .0002159{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.0012305{col 67}{space 3}-.0003842
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc2_dk
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c i.minister_technocrat year_month if country=="spain" , fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1261.7604}  
Iteration 2:{space 3}log likelihood = {res:-1261.4412}  
Iteration 3:{space 3}log likelihood = {res:-1261.4399}  
Iteration 4:{space 3}log likelihood = {res:-1261.4399}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}    63.97
{txt}Log likelihood  = {res}-1261.4399{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4104981{col 26}{space 2} .0936059{col 37}{space 1}    4.39{col 46}{space 3}0.000{col 54}{space 4} .2270339{col 67}{space 3} .5939623
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0734868{col 26}{space 2} .0352466{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .0044047{col 67}{space 3}  .142569
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} -.005764{col 26}{space 2} .0025286{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}  -.01072{col 67}{space 3}-.0008081
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0929431{col 26}{space 2} .0366878{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .0210364{col 67}{space 3} .1648499
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0025687{col 26}{space 2}  .000846{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.0042268{col 67}{space 3}-.0009107
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001514{col 26}{space 2}  .000218{col 37}{space 1}    0.69{col 46}{space 3}0.487{col 54}{space 4}-.0002759{col 67}{space 3} .0005787
{txt}1.ministe~at {c |}{col 14}{res}{space 2} .0853327{col 26}{space 2} .2185533{col 37}{space 1}    0.39{col 46}{space 3}0.696{col 54}{space 4}-.3430239{col 67}{space 3} .5136894
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0012818{col 26}{space 2} .0003133{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-.0018959{col 67}{space 3}-.0006677
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc2_esp
{txt}
{com}. 
. 
. ******** Table A4.3
. esttab model_rc2_dk model_rc2_esp using table_app4_3.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_3.rtf not found)
(output written to {browse  `"table_app4_3.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. *** Section: Sensitivity to influential observations
. 
. 
. *** Test 3: Sample excluding influential cases
. *** Tables A4.4/A4.5
. 
. ******* identify influential cases with substantially larger number of questions than common within the country
. 
. bysort country (ministry_id year_month_rel): egen mean_q = mean(ministry_questions_all) 
{txt}
{com}. bysort country (ministry_id year_month_rel): egen sd_q = sd(ministry_questions_all)
{txt}
{com}. 
. gen z_score = (ministry_questions_all - mean_q) / sd_q
{txt}
{com}. gen outlier = z_score > 3 // Flagging values >3 SDs from mean
{txt}
{com}. 
. 
. *** LTable A4.4
. list ministry_id country year_month_rel minister_gender ministry_questions_all z_score mean_q sd_q if outlier

      {txt}{c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 132. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     404 {txt}{c |} {res}austria {txt}{c |} {res}      11 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      43 {txt}{c |} {res} 3.06291 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 187. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     429 {txt}{c |} {res}austria {txt}{c |} {res}       5 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      45 {txt}{c |} {res}3.244379 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 218. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     501 {txt}{c |} {res}austria {txt}{c |} {res}       8 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      52 {txt}{c |} {res}3.879518 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 228. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     501 {txt}{c |} {res}austria {txt}{c |} {res}      18 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      48 {txt}{c |} {res}3.516581 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 229. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     501 {txt}{c |} {res}austria {txt}{c |} {res}      19 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      43 {txt}{c |} {res} 3.06291 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 232. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     501 {txt}{c |} {res}austria {txt}{c |} {res}      22 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      45 {txt}{c |} {res}3.244379 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 234. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}     501 {txt}{c |} {res}austria {txt}{c |} {res}      24 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      43 {txt}{c |} {res} 3.06291 {txt}{c |} {res}9.243055 {txt}{c |} {res} 11.0212 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 481. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}       8 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      81 {txt}{c |} {res}3.056012 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 483. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      10 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      97 {txt}{c |} {res}3.791087 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 494. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      21 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     108 {txt}{c |} {res}4.296451 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 498. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      25 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      89 {txt}{c |} {res}3.423549 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 499. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      26 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     112 {txt}{c |} {res}4.480219 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 501. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      28 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     101 {txt}{c |} {res}3.974855 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 502. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      29 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      85 {txt}{c |} {res}3.239781 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 506. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      33 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      99 {txt}{c |} {res}3.882971 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 509. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      36 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      81 {txt}{c |} {res}3.056012 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 510. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      37 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      98 {txt}{c |} {res}3.837029 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 511. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      38 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     102 {txt}{c |} {res}4.020798 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 515. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      42 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      83 {txt}{c |} {res}3.147897 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 518. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    1025 {txt}{c |} {res}belgium {txt}{c |} {res}      45 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      83 {txt}{c |} {res}3.147897 {txt}{c |} {res}14.48133 {txt}{c |} {res}21.76649 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 815. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2504 {txt}{c |} {res}denmark {txt}{c |} {res}      16 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      34 {txt}{c |} {res}3.013077 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 936. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2577 {txt}{c |} {res}denmark {txt}{c |} {res}       7 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      46 {txt}{c |} {res}4.277738 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 945. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2577 {txt}{c |} {res}denmark {txt}{c |} {res}      16 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      44 {txt}{c |} {res}4.066961 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 968. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}       3 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      36 {txt}{c |} {res}3.223854 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 970. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}       5 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      39 {txt}{c |} {res}3.540019 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 972. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}       7 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      34 {txt}{c |} {res}3.013077 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 973. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}       8 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      37 {txt}{c |} {res}3.329242 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 974. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}       9 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      63 {txt}{c |} {res} 6.06934 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 979. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}      14 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     119 {txt}{c |} {res}11.97109 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 980. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}      15 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      53 {txt}{c |} {res}5.015456 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 981. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}      16 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      90 {txt}{c |} {res}8.914826 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 982. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}      17 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      45 {txt}{c |} {res}4.172349 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 986. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}      21 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      38 {txt}{c |} {res}3.434631 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
 991. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2579 {txt}{c |} {res}denmark {txt}{c |} {res}      26 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      47 {txt}{c |} {res}4.383126 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1068. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2619 {txt}{c |} {res}denmark {txt}{c |} {res}      38 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      37 {txt}{c |} {res}3.329242 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1171. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    2932 {txt}{c |} {res}denmark {txt}{c |} {res}       8 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      34 {txt}{c |} {res}3.013077 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1287. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    3027 {txt}{c |} {res}denmark {txt}{c |} {res}       3 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      39 {txt}{c |} {res}3.540019 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1290. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    3027 {txt}{c |} {res}denmark {txt}{c |} {res}       6 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      44 {txt}{c |} {res}4.066961 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1291. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    3027 {txt}{c |} {res}denmark {txt}{c |} {res}       7 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      35 {txt}{c |} {res}3.118465 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1292. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    3027 {txt}{c |} {res}denmark {txt}{c |} {res}       8 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      35 {txt}{c |} {res}3.118465 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1297. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    3027 {txt}{c |} {res}denmark {txt}{c |} {res}      13 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      36 {txt}{c |} {res}3.223854 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1298. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    3027 {txt}{c |} {res}denmark {txt}{c |} {res}      14 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      36 {txt}{c |} {res}3.223854 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1848. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    9998 {txt}{c |} {res}denmark {txt}{c |} {res}       6 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      46 {txt}{c |} {res}4.277738 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1882. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}  199999 {txt}{c |} {res}denmark {txt}{c |} {res}       4 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      34 {txt}{c |} {res}3.013077 {txt}{c |} {res}5.409778 {txt}{c |} {res}9.488712 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1899. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    5887 {txt}{c |} {res}germany {txt}{c |} {res}       4 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     139 {txt}{c |} {res}4.138956 {txt}{c |} {res}23.08042 {txt}{c |} {res}28.00696 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1901. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    5887 {txt}{c |} {res}germany {txt}{c |} {res}       6 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     118 {txt}{c |} {res}3.389142 {txt}{c |} {res}23.08042 {txt}{c |} {res}28.00696 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1906. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    5887 {txt}{c |} {res}germany {txt}{c |} {res}      11 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     123 {txt}{c |} {res}3.567669 {txt}{c |} {res}23.08042 {txt}{c |} {res}28.00696 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1909. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    5887 {txt}{c |} {res}germany {txt}{c |} {res}      14 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     115 {txt}{c |} {res}3.282026 {txt}{c |} {res}23.08042 {txt}{c |} {res}28.00696 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1911. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    5887 {txt}{c |} {res}germany {txt}{c |} {res}      16 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     111 {txt}{c |} {res}3.139204 {txt}{c |} {res}23.08042 {txt}{c |} {res}28.00696 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
1927. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}    5887 {txt}{c |} {res}germany {txt}{c |} {res}      32 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}     108 {txt}{c |} {res}3.032088 {txt}{c |} {res}23.08042 {txt}{c |} {res}28.00696 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2191. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16399 {txt}{c |} {res}  spain {txt}{c |} {res}      10 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       8 {txt}{c |} {res}3.816931 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2216. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16399 {txt}{c |} {res}  spain {txt}{c |} {res}      35 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       7 {txt}{c |} {res}3.262232 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2261. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16400 {txt}{c |} {res}  spain {txt}{c |} {res}      23 {txt}{c |} {res}       1  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      10 {txt}{c |} {res}4.926329 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2274. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16400 {txt}{c |} {res}  spain {txt}{c |} {res}      36 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       9 {txt}{c |} {res} 4.37163 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2275. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16400 {txt}{c |} {res}  spain {txt}{c |} {res}      37 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       9 {txt}{c |} {res} 4.37163 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2277. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16400 {txt}{c |} {res}  spain {txt}{c |} {res}      39 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       8 {txt}{c |} {res}3.816931 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2584. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16499 {txt}{c |} {res}  spain {txt}{c |} {res}      18 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}      11 {txt}{c |} {res}5.481028 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2596. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16499 {txt}{c |} {res}  spain {txt}{c |} {res}      30 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       8 {txt}{c |} {res}3.816931 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2653. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16500 {txt}{c |} {res}  spain {txt}{c |} {res}      42 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       7 {txt}{c |} {res}3.262232 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2795. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16837 {txt}{c |} {res}  spain {txt}{c |} {res}       5 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       9 {txt}{c |} {res} 4.37163 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2809. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16837 {txt}{c |} {res}  spain {txt}{c |} {res}      19 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       9 {txt}{c |} {res} 4.37163 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2814. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16837 {txt}{c |} {res}  spain {txt}{c |} {res}      24 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       7 {txt}{c |} {res}3.262232 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

      {c TLC}{hline 10}{c TT}{hline 9}{c TT}{hline 10}{c TT}{hline 11}{c TRC}
2821. {c |} minis~id {c |} country {c |} year_m~l {c |} min~nder  {c |}
      {c |} {res}   16837 {txt}{c |} {res}  spain {txt}{c |} {res}      31 {txt}{c |} {res}       2  {txt}{c |}
      {c LT}{hline 10}{c +}{hline 9}{c BT}{c TT}{hline 9}{c BT}{c TT}{hline 10}{c RT}
      {c |} minis~ll {c |}  z_score {c |}   mean_q {c |}     sd_q {c |}
      {c |} {res}       8 {txt}{c |} {res}3.816931 {txt}{c |} {res}1.118913 {txt}{c |} {res} 1.80278 {txt}{c |}
      {c BLC}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BT}{hline 10}{c BRC}

{com}. 
. generate outlier_id=0
{txt}
{com}. replace outlier_id=1 if ministry_id==5887 | ministry_id==1025 |ministry_id==2579 | ministry_id==501 |ministry_id==3027
{txt}(180 real changes made)

{com}. 
. 
. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria" & outlier_id==0, fe 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1266.0694}  
Iteration 1:{space 3}log likelihood = {res:-789.62993}  
Iteration 2:{space 3}log likelihood = {res:-751.14709}  
Iteration 3:{space 3}log likelihood = {res:-746.76823}  
Iteration 4:{space 3}log likelihood = {res:-745.75259}  
Iteration 5:{space 3}log likelihood = {res:-745.54435}  
Iteration 6:{space 3}log likelihood = {res:-745.51019}  
Iteration 7:{space 3}log likelihood = {res:-745.50197}  
Iteration 8:{space 3}log likelihood = {res: -745.5002}  
Iteration 9:{space 3}log likelihood = {res:-745.49984}  
Iteration 10:{space 2}log likelihood = {res:-745.49975}  
Iteration 11:{space 2}log likelihood = {res:-745.49973}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       258
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      43.0
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    81.05
{txt}Log likelihood  = {res}-745.49973{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2920938{col 26}{space 2} .1307666{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0357959{col 67}{space 3} .5483917
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0380952{col 26}{space 2} .0090275{col 37}{space 1}   -4.22{col 46}{space 3}0.000{col 54}{space 4}-.0557889{col 67}{space 3}-.0204016
{txt}~rduration_c {c |}{col 14}{res}{space 2} 5.782403{col 26}{space 2}  178.546{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-344.1612{col 67}{space 3}  355.726
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0940099{col 26}{space 2} .0696728{col 37}{space 1}    1.35{col 46}{space 3}0.177{col 54}{space 4}-.0425464{col 67}{space 3} .2305662
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0149803{col 26}{space 2} .4891671{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.9737302{col 67}{space 3} .9437695
{txt}{space 2}year_month {c |}{col 14}{res}{space 2} -.001096{col 26}{space 2} .0003832{col 37}{space 1}   -2.86{col 46}{space 3}0.004{col 54}{space 4} -.001847{col 67}{space 3} -.000345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc3_at
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium"& outlier_id==0, fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1776.0512}  
Iteration 1:{space 3}log likelihood = {res:-1524.1341}  
Iteration 2:{space 3}log likelihood = {res:-1521.6324}  
Iteration 3:{space 3}log likelihood = {res:-1521.6238}  
Iteration 4:{space 3}log likelihood = {res:-1521.6238}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       377
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         9

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      41.9
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   418.34
{txt}Log likelihood  = {res}-1521.6238{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .0118287{col 26}{space 2} .1080934{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.2000304{col 67}{space 3} .2236879
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0441758{col 26}{space 2} .0130445{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.0697426{col 67}{space 3}-.0186091
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0246919{col 26}{space 2} .0023166{col 37}{space 1}   10.66{col 46}{space 3}0.000{col 54}{space 4} .0201515{col 67}{space 3} .0292323
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0471286{col 26}{space 2} .0135405{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .0205896{col 67}{space 3} .0736675
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0009288{col 26}{space 2} .0003902{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.0016935{col 67}{space 3} -.000164
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .001474{col 26}{space 2} .0006218{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0002553{col 67}{space 3} .0026927
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0003985{col 26}{space 2} .0002239{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.0008374{col 67}{space 3} .0000403
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc3_be
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark" & outlier_id==0, fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2806.8965}  
Iteration 1:{space 3}log likelihood = {res:-2774.0305}  
Iteration 2:{space 3}log likelihood = {res:-2773.9922}  
Iteration 3:{space 3}log likelihood = {res:-2773.9922}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       921
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        31

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.7
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    63.94
{txt}Log likelihood  = {res}-2773.9922{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}  .155791{col 26}{space 2} .0359476{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .0853349{col 67}{space 3}  .226247
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0008726{col 26}{space 2} .0049606{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-.0088501{col 67}{space 3} .0105952
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019699{col 26}{space 2} .0003748{col 37}{space 1}   -5.26{col 46}{space 3}0.000{col 54}{space 4}-.0027045{col 67}{space 3}-.0012353
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0366881{col 26}{space 2} .0149904{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0073075{col 67}{space 3} .0660688
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0013573{col 26}{space 2} .0009249{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.0031701{col 67}{space 3} .0004555
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} -.000046{col 26}{space 2} .0000379{col 37}{space 1}   -1.21{col 46}{space 3}0.224{col 54}{space 4}-.0001203{col 67}{space 3} .0000282
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0001041{col 26}{space 2} .0002634{col 37}{space 1}   -0.40{col 46}{space 3}0.693{col 54}{space 4}-.0006203{col 67}{space 3} .0004121
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc3_dk
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany"& outlier_id==0, fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
note: c.minister_ministerduration_c#c.minister_ministerduration_c omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-937.87257}  
Iteration 1:{space 3}log likelihood = {res:-866.86895}  
Iteration 2:{space 3}log likelihood = {res:-866.86483}  
Iteration 3:{space 3}log likelihood = {res:-866.86483}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       191
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         4

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.8
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}5{txt}){col 67}={col 70}{res}   133.00
{txt}Log likelihood  = {res}-866.86483{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}  1.00165{col 26}{space 2} .1022866{col 37}{space 1}    9.79{col 46}{space 3}0.000{col 54}{space 4} .8011722{col 67}{space 3} 1.202128
{txt}~pduration_c {c |}{col 14}{res}{space 2} -11.2961{col 26}{space 2} 1.466526{col 37}{space 1}   -7.70{col 46}{space 3}0.000{col 54}{space 4}-14.17044{col 67}{space 3}-8.421762
{txt}~rduration_c {c |}{col 14}{res}{space 2}-43.96083{col 26}{space 2} 5.665799{col 37}{space 1}   -7.76{col 46}{space 3}0.000{col 54}{space 4}-55.06559{col 67}{space 3}-32.85607
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1677413{col 26}{space 2}  .021718{col 37}{space 1}    7.72{col 46}{space 3}0.000{col 54}{space 4} .1251749{col 67}{space 3} .2103077
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0002142{col 26}{space 2} .0002783{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.0007597{col 67}{space 3} .0003313
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc3_de
{txt}
{com}. 
. 
. ***** Table A4.5
. 
. esttab model_rc3_at model_rc3_be model_rc3_dk model_rc3_de using table_app4_5.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app4_5.rtf not found)
(output written to {browse  `"table_app4_5.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. *** Section: Sampling bias
. 
. 
. *** Test 4: Sample excluding replacements due to scandal/crisis
. *** Table A4.6
. 
. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria" & ministry_reasonreplacement!="Scandal/crisis linked to the portfolio or minister" , fe 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1475.7411}  
Iteration 1:{space 3}log likelihood = {res: -975.8335}  
Iteration 2:{space 3}log likelihood = {res:-940.78587}  
Iteration 3:{space 3}log likelihood = {res:-932.66554}  
Iteration 4:{space 3}log likelihood = {res:-930.71583}  
Iteration 5:{space 3}log likelihood = {res:-930.33583}  
Iteration 6:{space 3}log likelihood = {res:-930.27175}  
Iteration 7:{space 3}log likelihood = {res: -930.2567}  
Iteration 8:{space 3}log likelihood = {res:-930.25326}  
Iteration 9:{space 3}log likelihood = {res:-930.25252}  
Iteration 10:{space 2}log likelihood = {res:-930.25239}  
Iteration 11:{space 2}log likelihood = {res:-930.25238}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       288
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         7

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      41.1
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   125.81
{txt}Log likelihood  = {res}-930.25238{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .9590056{col 26}{space 2} .1873454{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .5918154{col 67}{space 3} 1.326196
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0610091{col 26}{space 2}  .025941{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0101657{col 67}{space 3} .1118525
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0169047{col 26}{space 2} .0042475{col 37}{space 1}   -3.98{col 46}{space 3}0.000{col 54}{space 4}-.0252296{col 67}{space 3}-.0085798
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 7.789769{col 26}{space 2} 218.1691{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-419.8137{col 67}{space 3} 435.3933
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.2037238{col 26}{space 2} .0230362{col 37}{space 1}   -8.84{col 46}{space 3}0.000{col 54}{space 4}-.2488739{col 67}{space 3}-.1585737
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} -.019879{col 26}{space 2} .5977233{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-1.191395{col 67}{space 3} 1.151637
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007244{col 26}{space 2} .0003317{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-.0013746{col 67}{space 3}-.0000743
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc4_at
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium" & ministry_reasonreplacement!="Scandal/crisis linked to the portfolio or minister" , fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1776.0512}  
Iteration 1:{space 3}log likelihood = {res:-1524.1341}  
Iteration 2:{space 3}log likelihood = {res:-1521.6324}  
Iteration 3:{space 3}log likelihood = {res:-1521.6238}  
Iteration 4:{space 3}log likelihood = {res:-1521.6238}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       377
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         9

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      41.9
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   418.34
{txt}Log likelihood  = {res}-1521.6238{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .0118287{col 26}{space 2} .1080934{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.2000304{col 67}{space 3} .2236879
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0441758{col 26}{space 2} .0130445{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.0697426{col 67}{space 3}-.0186091
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0246919{col 26}{space 2} .0023166{col 37}{space 1}   10.66{col 46}{space 3}0.000{col 54}{space 4} .0201515{col 67}{space 3} .0292323
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0471286{col 26}{space 2} .0135405{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .0205896{col 67}{space 3} .0736675
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0009288{col 26}{space 2} .0003902{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.0016935{col 67}{space 3} -.000164
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .001474{col 26}{space 2} .0006218{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0002553{col 67}{space 3} .0026927
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0003985{col 26}{space 2} .0002239{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.0008374{col 67}{space 3} .0000403
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc4_be
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark" &ministry_reasonreplacement!="Scandal/crisis linked to the portfolio or minister", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2871.2366}  
Iteration 1:{space 3}log likelihood = {res:-2838.0034}  
Iteration 2:{space 3}log likelihood = {res:-2837.9537}  
Iteration 3:{space 3}log likelihood = {res:-2837.9537}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       908
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        31

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.3
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    64.19
{txt}Log likelihood  = {res}-2837.9537{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1346609{col 26}{space 2} .0316589{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .0726107{col 67}{space 3} .1967112
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0004594{col 26}{space 2} .0048719{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4}-.0100082{col 67}{space 3} .0090893
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0020783{col 26}{space 2} .0003734{col 37}{space 1}   -5.57{col 46}{space 3}0.000{col 54}{space 4}-.0028101{col 67}{space 3}-.0013465
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}  .042881{col 26}{space 2} .0139557{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0155283{col 67}{space 3} .0702337
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0014309{col 26}{space 2}  .000918{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-.0032303{col 67}{space 3} .0003684
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0000694{col 26}{space 2} .0000282{col 37}{space 1}   -2.46{col 46}{space 3}0.014{col 54}{space 4}-.0001247{col 67}{space 3} -.000014
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0000326{col 26}{space 2} .0002522{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4} -.000527{col 67}{space 3} .0004618
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc4_dk
{txt}
{com}.  
. xtpoisson ministry_questions_all i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain" & ministry_reasonreplacement!="Scandal/crisis linked to the portfolio or minister", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1008.3181}  
Iteration 1:{space 3}log likelihood = {res:-977.02157}  
Iteration 2:{space 3}log likelihood = {res:-976.91119}  
Iteration 3:{space 3}log likelihood = {res:-976.91096}  
Iteration 4:{space 3}log likelihood = {res:-976.91096}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       705
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        16

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.1
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    52.62
{txt}Log likelihood  = {res}-976.91096{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2465372{col 26}{space 2} .1142732{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0225659{col 67}{space 3} .4705084
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0545587{col 26}{space 2} .0371131{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0181816{col 67}{space 3} .1272989
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0033107{col 26}{space 2} .0055886{col 37}{space 1}   -0.59{col 46}{space 3}0.554{col 54}{space 4}-.0142642{col 67}{space 3} .0076428
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0335626{col 26}{space 2} .0373828{col 37}{space 1}    0.90{col 46}{space 3}0.369{col 54}{space 4}-.0397063{col 67}{space 3} .1068315
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0012518{col 26}{space 2} .0008688{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.0029545{col 67}{space 3}  .000451
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0008052{col 26}{space 2} .0003152{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0001874{col 67}{space 3} .0014231
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0009957{col 26}{space 2} .0003472{col 37}{space 1}   -2.87{col 46}{space 3}0.004{col 54}{space 4}-.0016762{col 67}{space 3}-.0003151
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc4_esp
{txt}
{com}. 
. 
. 
. ******** Table A4.6
. esttab model_rc4_at model_rc4_be model_rc4_dk model_rc4_esp using table_app4_6.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_6.rtf not found)
(output written to {browse  `"table_app4_6.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. *** Test 5: Additional confounders for replacement
. *** Table A4.7
. 
. 
. 
. xtpoisson ministry_questions_all i.minister_gender i.ministry_replacement c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium" , fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1908.4664}  
Iteration 2:{space 3}log likelihood = {res:-1900.1432}  
Iteration 3:{space 3}log likelihood = {res:-1899.9733}  
Iteration 4:{space 3}log likelihood = {res:-1899.9733}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}   410.93
{txt}Log likelihood  = {res}-1899.9733{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.2535183{col 26}{space 2}  .053425{col 37}{space 1}   -4.75{col 46}{space 3}0.000{col 54}{space 4}-.3582293{col 67}{space 3}-.1488073
{txt}1.ministry.. {c |}{col 14}{res}{space 2}  .568141{col 26}{space 2} .0947599{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4}  .382415{col 67}{space 3}  .753867
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0768817{col 26}{space 2} .0095803{col 37}{space 1}   -8.03{col 46}{space 3}0.000{col 54}{space 4}-.0956587{col 67}{space 3}-.0581048
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0385911{col 26}{space 2} .0044349{col 37}{space 1}    8.70{col 46}{space 3}0.000{col 54}{space 4} .0298988{col 67}{space 3} .0472833
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .1018295{col 26}{space 2} .0221642{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .0583885{col 67}{space 3} .1452705
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0026233{col 26}{space 2} .0006615{col 37}{space 1}   -3.97{col 46}{space 3}0.000{col 54}{space 4}-.0039197{col 67}{space 3}-.0013268
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0033542{col 26}{space 2} .0004254{col 37}{space 1}    7.88{col 46}{space 3}0.000{col 54}{space 4} .0025204{col 67}{space 3}  .004188
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011296{col 26}{space 2} .0001694{col 37}{space 1}   -6.67{col 46}{space 3}0.000{col 54}{space 4}-.0014616{col 67}{space 3}-.0007976
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc5_be
{txt}
{com}. 
. xtpoisson ministry_questions_all i.minister_gender i.ministry_replacement c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c if country=="denmark" , fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3234.2691}  
Iteration 2:{space 3}log likelihood = {res:-3234.2302}  
Iteration 3:{space 3}log likelihood = {res:-3234.2302}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    63.31
{txt}Log likelihood  = {res}-3234.2302{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1239441{col 26}{space 2} .0288098{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4}  .067478{col 67}{space 3} .1804102
{txt}1.ministry.. {c |}{col 14}{res}{space 2}-.0454018{col 26}{space 2}  .038622{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.1210996{col 67}{space 3} .0302959
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0015956{col 26}{space 2}   .00502{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.0114346{col 67}{space 3} .0082434
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019382{col 26}{space 2} .0003683{col 37}{space 1}   -5.26{col 46}{space 3}0.000{col 54}{space 4}-.0026601{col 67}{space 3}-.0012163
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}  .046555{col 26}{space 2} .0146116{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} .0179168{col 67}{space 3} .0751932
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0016368{col 26}{space 2} .0009277{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4} -.003455{col 67}{space 3} .0001813
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0000896{col 26}{space 2} .0000321{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.0001525{col 67}{space 3}-.0000266
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc5_dk
{txt}
{com}.  
. 
. xtpoisson ministry_questions_all i.minister_gender i.ministry_replacement c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain" , fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1261.7003}  
Iteration 2:{space 3}log likelihood = {res:-1261.3382}  
Iteration 3:{space 3}log likelihood = {res:-1261.3368}  
Iteration 4:{space 3}log likelihood = {res:-1261.3368}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}    63.68
{txt}Log likelihood  = {res}-1261.3368{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .3962066{col 26}{space 2} .0918361{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .2162113{col 67}{space 3}  .576202
{txt}1.ministry.. {c |}{col 14}{res}{space 2}-.0731687{col 26}{space 2} .1223505{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.3129712{col 67}{space 3} .1666338
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0710525{col 26}{space 2} .0347732{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0028983{col 67}{space 3} .1392067
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0057098{col 26}{space 2} .0025157{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.0106404{col 67}{space 3}-.0007792
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0836838{col 26}{space 2} .0283909{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0280388{col 67}{space 3} .1393288
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0023458{col 26}{space 2}  .000678{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.0036746{col 67}{space 3} -.001017
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0000911{col 26}{space 2} .0002269{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4}-.0003536{col 67}{space 3} .0005357
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011318{col 26}{space 2} .0004149{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4} -.001945{col 67}{space 3}-.0003187
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc5_esp
{txt}
{com}. 
. ******** Table A4.7
. esttab model_rc5_be model_rc5_dk model_rc5_esp using table_app4_7.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_7.rtf not found)
(output written to {browse  `"table_app4_7.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. *** Test 6: Interaction with woman minister being a replacement
. *** Tables A4.8 & A4.9, Figure A4.1
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_womenreplacement c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1908.4664}  
Iteration 2:{space 3}log likelihood = {res:-1900.1432}  
Iteration 3:{space 3}log likelihood = {res:-1899.9733}  
Iteration 4:{space 3}log likelihood = {res:-1899.9733}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1899.9733{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.8216593{col 26}{space 2} .0826261{col 37}{space 1}   -9.94{col 46}{space 3}0.000{col 54}{space 4}-.9836035{col 67}{space 3}-.6597151
{txt}1.m~womenr~t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_w~t {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} 1.136282{col 26}{space 2} .1895198{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4}   .76483{col 67}{space 3} 1.507734
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0768817{col 26}{space 2} .0095803{col 37}{space 1}   -8.03{col 46}{space 3}0.000{col 54}{space 4}-.0956587{col 67}{space 3}-.0581048
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0385911{col 26}{space 2} .0044349{col 37}{space 1}    8.70{col 46}{space 3}0.000{col 54}{space 4} .0298988{col 67}{space 3} .0472833
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .1018295{col 26}{space 2} .0221642{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .0583885{col 67}{space 3} .1452705
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0026233{col 26}{space 2} .0006615{col 37}{space 1}   -3.97{col 46}{space 3}0.000{col 54}{space 4}-.0039197{col 67}{space 3}-.0013268
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0033542{col 26}{space 2} .0004254{col 37}{space 1}    7.88{col 46}{space 3}0.000{col 54}{space 4} .0025204{col 67}{space 3}  .004188
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011296{col 26}{space 2} .0001694{col 37}{space 1}   -6.67{col 46}{space 3}0.000{col 54}{space 4}-.0014616{col 67}{space 3}-.0007976
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc6_be
{txt}
{com}. 
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay model_rc6_be:model_rc6_be}}{col 14}{c |}{res}{col 16}       428{col 28}        .{col 39}-1899.973{col 50}     8{col 58} 3815.947{col 69}  3848.42
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. testparm i.minister_gender#i.ministry_womenreplacement

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ministry_questions_all]2.minister_gender#1.ministry_womenreplacement = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   35.95
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. margins, dydx(minister_gender) at (ministry_womenreplacement=(0 1))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       428
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_womenreplacement}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_womenreplacement}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.8216593{col 26}{space 2} .0826261{col 37}{space 1}   -9.94{col 46}{space 3}0.000{col 54}{space 4}-.9836035{col 67}{space 3}-.6597151
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3146227{col 26}{space 2}   .12977{col 37}{space 1}    2.42{col 46}{space 3}0.015{col 54}{space 4} .0602782{col 67}{space 3} .5689672
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Belgium) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0 "women first" 1"women second", noticks) ytitle("minister = woman") xtitle("who was in office first") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_womenreplacement{p_end}
{res}{txt}
{com}. graph save figure_app4_1.gph,replace
{txt}(note: file figure_app4_1.gph not found)
{res}{txt}(file figure_app4_1.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_womenreplacement c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3226.2389}  
Iteration 2:{space 3}log likelihood = {res:-3226.2071}  
Iteration 3:{space 3}log likelihood = {res:-3226.2071}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-3226.2071{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}  .050057{col 26}{space 2} .0583939{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4} -.064393{col 67}{space 3} .1645069
{txt}1.m~womenr~t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_w~t {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} .1794983{col 26}{space 2} .1022475{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0209032{col 67}{space 3} .3798998
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0011984{col 26}{space 2} .0050076{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.0110131{col 67}{space 3} .0086163
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019251{col 26}{space 2} .0003673{col 37}{space 1}   -5.24{col 46}{space 3}0.000{col 54}{space 4}-.0026449{col 67}{space 3}-.0012053
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0430522{col 26}{space 2} .0146145{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0144083{col 67}{space 3} .0716961
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}  -.00144{col 26}{space 2} .0009281{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4} -.003259{col 67}{space 3} .0003791
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} -.000077{col 26}{space 2} .0000322{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-.0001401{col 67}{space 3}-.0000138
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011471{col 26}{space 2} .0002865{col 37}{space 1}   -4.00{col 46}{space 3}0.000{col 54}{space 4}-.0017086{col 67}{space 3}-.0005856
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc6_dk
{txt}
{com}.  
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay model_rc6_dk:model_rc6_dk}}{col 14}{c |}{res}{col 16}       973{col 28}        .{col 39}-3226.207{col 50}     8{col 58} 6468.414{col 69} 6507.457
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. testparm i.minister_gender#i.ministry_womenreplacement

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ministry_questions_all]2.minister_gender#1.ministry_womenreplacement = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    3.08
{txt}{col 10}Prob > chi2 =  {res}  0.0792
{txt}
{com}. 
.  
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_womenreplacement c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1261.7003}  
Iteration 2:{space 3}log likelihood = {res:-1261.3382}  
Iteration 3:{space 3}log likelihood = {res:-1261.3368}  
Iteration 4:{space 3}log likelihood = {res:-1261.3368}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1261.3368{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4693753{col 26}{space 2} .1454336{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .1843308{col 67}{space 3} .7544199
{txt}1.m~womenr~t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_w~t {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2}-.1463373{col 26}{space 2} .2447009{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.6259423{col 67}{space 3} .3332677
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0710525{col 26}{space 2} .0347732{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0028983{col 67}{space 3} .1392067
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0057098{col 26}{space 2} .0025157{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.0106404{col 67}{space 3}-.0007792
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0836838{col 26}{space 2} .0283909{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0280388{col 67}{space 3} .1393288
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0023458{col 26}{space 2}  .000678{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.0036746{col 67}{space 3} -.001017
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0000911{col 26}{space 2} .0002269{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4}-.0003536{col 67}{space 3} .0005357
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011318{col 26}{space 2} .0004149{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4} -.001945{col 67}{space 3}-.0003187
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc6_esp
{txt}
{com}. 
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay model_rc6_esp:model_rc6_~p}}{col 14}{c |}{res}{col 16}       852{col 28}        .{col 39}-1261.337{col 50}     8{col 58} 2538.674{col 69} 2576.654
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. testparm i.minister_gender#i.ministry_womenreplacement

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[ministry_questions_all]2.minister_gender#1.ministry_womenreplacement = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.36
{txt}{col 10}Prob > chi2 =  {res}  0.5498
{txt}
{com}. 
. 
. ******** Table A4.9
. esttab model_rc6_be using table_app4_9.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_9.rtf not found)
(output written to {browse  `"table_app4_9.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. *** Section: Conditionality of the effect of minister’s gender        
. *** Test 7: Women MPs only
. *** Table A4.10
. 
. xtpoisson ministry_questions_womenmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{txt}note: 1 group (44 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-659.07929}  
Iteration 1:{space 3}log likelihood = {res:-563.13412}  
Iteration 2:{space 3}log likelihood = {res:-556.43989}  
Iteration 3:{space 3}log likelihood = {res:-554.94099}  
Iteration 4:{space 3}log likelihood = {res:-554.61209}  
Iteration 5:{space 3}log likelihood = {res:-554.52909}  
Iteration 6:{space 3}log likelihood = {res:-554.51329}  
Iteration 7:{space 3}log likelihood = {res:-554.51073}  
Iteration 8:{space 3}log likelihood = {res:-554.51011}  
Iteration 9:{space 3}log likelihood = {res:-554.50998}  
Iteration 10:{space 2}log likelihood = {res:-554.50995}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       244
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      40.7
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    47.13
{txt}Log likelihood  = {res}-554.50995{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~omenmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.015068{col 26}{space 2} .3323715{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .3636313{col 67}{space 3} 1.666504
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0793689{col 26}{space 2} .0484393{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.0155704{col 67}{space 3} .1743082
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0201046{col 26}{space 2} .0073693{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.0345482{col 67}{space 3} -.005661
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 6.992942{col 26}{space 2} 127.5489{col 37}{space 1}    0.05{col 46}{space 3}0.956{col 54}{space 4}-242.9983{col 67}{space 3} 256.9842
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.2197329{col 26}{space 2} .0385194{col 37}{space 1}   -5.70{col 46}{space 3}0.000{col 54}{space 4}-.2952296{col 67}{space 3}-.1442362
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0175555{col 26}{space 2} .3494484{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-.7024617{col 67}{space 3} .6673508
{txt}{space 2}year_month {c |}{col 14}{res}{space 2} .0001704{col 26}{space 2} .0005934{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.0009927{col 67}{space 3} .0013334
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc7_at
{txt}
{com}. 
. xtpoisson ministry_questions_womenmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 2 groups (94 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -599.8561}  
Iteration 1:{space 3}log likelihood = {res:-588.04945}  
Iteration 2:{space 3}log likelihood = {res:-587.59578}  
Iteration 3:{space 3}log likelihood = {res:-587.58991}  
Iteration 4:{space 3}log likelihood = {res:-587.58991}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       388
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         9

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      43.1
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    17.55
{txt}Log likelihood  = {res}-587.58991{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0142

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~omenmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.2843595{col 26}{space 2}  .145628{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.5697851{col 67}{space 3} .0010662
{txt}~pduration_c {c |}{col 14}{res}{space 2} -.079622{col 26}{space 2}  .045117{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4}-.1680497{col 67}{space 3} .0088057
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0326036{col 26}{space 2} .0130732{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0069805{col 67}{space 3} .0582267
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0778222{col 26}{space 2} .0598752{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4} -.039531{col 67}{space 3} .1951755
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0023759{col 26}{space 2} .0017026{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.0057128{col 67}{space 3} .0009611
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .001607{col 26}{space 2} .0012934{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4} -.000928{col 67}{space 3} .0041419
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0004243{col 26}{space 2} .0004964{col 37}{space 1}   -0.85{col 46}{space 3}0.393{col 54}{space 4}-.0013973{col 67}{space 3} .0005487
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc7_be
{txt}
{com}. 
. xtpoisson ministry_questions_womenmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 5 groups (197 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1554.3722}  
Iteration 1:{space 3}log likelihood = {res:-1531.3458}  
Iteration 2:{space 3}log likelihood = {res:-1531.3327}  
Iteration 3:{space 3}log likelihood = {res:-1531.3327}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       928
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        32

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.0
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    44.70
{txt}Log likelihood  = {res}-1531.3327{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~omenmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2368867{col 26}{space 2} .0589942{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .1212601{col 67}{space 3} .3525132
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0413889{col 26}{space 2}  .012001{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .0178673{col 67}{space 3} .0649105
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0031117{col 26}{space 2} .0007979{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-.0046756{col 67}{space 3}-.0015478
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0670316{col 26}{space 2} .0301749{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.1261732{col 67}{space 3}  -.00789
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0065293{col 26}{space 2}  .001859{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} .0028856{col 67}{space 3} .0101729
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001466{col 26}{space 2} .0000525{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.0002496{col 67}{space 3}-.0000437
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0009233{col 26}{space 2} .0004286{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-.0017634{col 67}{space 3}-.0000832
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc7_dk
{txt}
{com}. 
. xtpoisson ministry_questions_womenmps i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -770.8656}  
Iteration 1:{space 3}log likelihood = {res:-677.93835}  
Iteration 2:{space 3}log likelihood = {res:-676.10604}  
Iteration 3:{space 3}log likelihood = {res:-676.10052}  
Iteration 4:{space 3}log likelihood = {res:-676.10052}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   153.54
{txt}Log likelihood  = {res}-676.10052{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~omenmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .9544658{col 26}{space 2}  .197441{col 37}{space 1}    4.83{col 46}{space 3}0.000{col 54}{space 4} .5674886{col 67}{space 3} 1.341443
{txt}~pduration_c {c |}{col 14}{res}{space 2}-4.270925{col 26}{space 2} 3.751507{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4}-11.62374{col 67}{space 3} 3.081893
{txt}~rduration_c {c |}{col 14}{res}{space 2}-13.61006{col 26}{space 2} 11.45226{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-36.05608{col 67}{space 3} 8.835964
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 1.797441{col 26}{space 2} 1.576323{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-1.292096{col 67}{space 3} 4.886978
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .059137{col 26}{space 2} .0520052{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-.0427912{col 67}{space 3} .1610653
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0001078{col 26}{space 2} .0002484{col 37}{space 1}   -0.43{col 46}{space 3}0.664{col 54}{space 4}-.0005948{col 67}{space 3} .0003791
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc7_de
{txt}
{com}. 
. xtpoisson ministry_questions_womenmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 4 groups (143 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-410.04942}  
Iteration 1:{space 3}log likelihood = {res:-388.16865}  
Iteration 2:{space 3}log likelihood = {res: -386.1434}  
Iteration 3:{space 3}log likelihood = {res:-385.94347}  
Iteration 4:{space 3}log likelihood = {res:-385.94107}  
Iteration 5:{space 3}log likelihood = {res:-385.94107}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       740
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        16

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      46.3
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    26.84
{txt}Log likelihood  = {res}-385.94107{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0004

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~omenmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.078748{col 26}{space 2} .3197619{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .4520263{col 67}{space 3}  1.70547
{txt}~pduration_c {c |}{col 14}{res}{space 2} .1635775{col 26}{space 2} .0939679{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0205962{col 67}{space 3} .3477513
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0133428{col 26}{space 2} .0069449{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0269545{col 67}{space 3} .0002689
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0613113{col 26}{space 2} .0899558{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.1149987{col 67}{space 3} .2376214
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.2004559{col 26}{space 2} .1099131{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-.4158815{col 67}{space 3} .0149697
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0002796{col 26}{space 2} .0004899{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.0012398{col 67}{space 3} .0006805
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0017704{col 26}{space 2} .0007935{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-.0033256{col 67}{space 3}-.0002151
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc7_esp
{txt}
{com}. 
. ******** Table A4.10
. esttab model_rc7_at model_rc7_be model_rc7_dk model_rc7_de model_rc7_esp using table_app4_10.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_10.rtf not found)
(output written to {browse  `"table_app4_10.rtf"'})

{com}. 
. 
. 
. 
. *** Test 8: Men MPs only
. *** Table A4.11
. 
. xtpoisson ministry_questions_menmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{txt}note: 1 group (44 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1065.7006}  
Iteration 1:{space 3}log likelihood = {res:-717.14406}  
Iteration 2:{space 3}log likelihood = {res:  -693.071}  
Iteration 3:{space 3}log likelihood = {res:-687.35936}  
Iteration 4:{space 3}log likelihood = {res:-686.20989}  
Iteration 5:{space 3}log likelihood = {res:-685.96191}  
Iteration 6:{space 3}log likelihood = {res:-685.90658}  
Iteration 7:{space 3}log likelihood = {res:-685.89288}  
Iteration 8:{space 3}log likelihood = {res:-685.89013}  
Iteration 9:{space 3}log likelihood = {res:-685.88954}  
Iteration 10:{space 2}log likelihood = {res: -685.8894}  
Iteration 11:{space 2}log likelihood = {res:-685.88937}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       244
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      40.7
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    70.57
{txt}Log likelihood  = {res}-685.88937{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~_menmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .6177995{col 26}{space 2} .2562488{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4}  .115561{col 67}{space 3} 1.120038
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0115088{col 26}{space 2} .0344978{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.0561056{col 67}{space 3} .0791232
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0084167{col 26}{space 2} .0058243{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.0198322{col 67}{space 3} .0029988
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 6.993527{col 26}{space 2}  121.794{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-231.7182{col 67}{space 3} 245.7053
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.1769376{col 26}{space 2} .0315349{col 37}{space 1}   -5.61{col 46}{space 3}0.000{col 54}{space 4}-.2387449{col 67}{space 3}-.1151304
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0182036{col 26}{space 2} .3336816{col 37}{space 1}   -0.05{col 46}{space 3}0.956{col 54}{space 4}-.6722076{col 67}{space 3} .6358003
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011975{col 26}{space 2} .0004281{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.0020365{col 67}{space 3}-.0003584
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc8_at
{txt}
{com}. 
. xtpoisson ministry_questions_menmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1464.2428}  
Iteration 1:{space 3}log likelihood = {res:-1321.2285}  
Iteration 2:{space 3}log likelihood = {res:-1319.5387}  
Iteration 3:{space 3}log likelihood = {res:-1319.5311}  
Iteration 4:{space 3}log likelihood = {res:-1319.5311}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   240.50
{txt}Log likelihood  = {res}-1319.5311{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~_menmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} -.226961{col 26}{space 2} .0742336{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.3724561{col 67}{space 3}-.0814659
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0743122{col 26}{space 2} .0125927{col 37}{space 1}   -5.90{col 46}{space 3}0.000{col 54}{space 4}-.0989935{col 67}{space 3}-.0496309
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0247681{col 26}{space 2} .0032285{col 37}{space 1}    7.67{col 46}{space 3}0.000{col 54}{space 4} .0184404{col 67}{space 3} .0310958
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0227241{col 26}{space 2} .0182759{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4}-.0130959{col 67}{space 3} .0585441
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0002258{col 26}{space 2} .0005117{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.0012288{col 67}{space 3} .0007771
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0019688{col 26}{space 2} .0006747{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0006465{col 67}{space 3} .0032912
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006569{col 26}{space 2} .0002733{col 37}{space 1}   -2.40{col 46}{space 3}0.016{col 54}{space 4}-.0011925{col 67}{space 3}-.0001212
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc8_be
{txt}
{com}. 
. xtpoisson ministry_questions_menmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2638.4293}  
Iteration 1:{space 3}log likelihood = {res:-2599.3396}  
Iteration 2:{space 3}log likelihood = {res:-2599.2605}  
Iteration 3:{space 3}log likelihood = {res:-2599.2605}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    74.92
{txt}Log likelihood  = {res}-2599.2605{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~_menmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1043941{col 26}{space 2} .0344573{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0368591{col 67}{space 3} .1719291
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0129088{col 26}{space 2} .0054242{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.0235399{col 67}{space 3}-.0022776
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019037{col 26}{space 2} .0004476{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.0027811{col 67}{space 3}-.0010264
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0821411{col 26}{space 2} .0162941{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .0502053{col 67}{space 3} .1140769
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0034961{col 26}{space 2}  .001173{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-.0057951{col 67}{space 3}-.0011972
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} -.000102{col 26}{space 2} .0000321{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-.0001649{col 67}{space 3}-.0000391
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0008783{col 26}{space 2} .0002554{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-.0013788{col 67}{space 3}-.0003778
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  estimates store model_rc8_dk
{txt}
{com}. 
. xtpoisson ministry_questions_menmps i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-970.69396}  
Iteration 1:{space 3}log likelihood = {res:-856.96644}  
Iteration 2:{space 3}log likelihood = {res:-855.70246}  
Iteration 3:{space 3}log likelihood = {res: -855.7016}  
Iteration 4:{space 3}log likelihood = {res: -855.7016}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   202.02
{txt}Log likelihood  = {res} -855.7016{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~_menmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.198128{col 26}{space 2}  .114911{col 37}{space 1}   10.43{col 46}{space 3}0.000{col 54}{space 4} .9729067{col 67}{space 3} 1.423349
{txt}~pduration_c {c |}{col 14}{res}{space 2} -12.8988{col 26}{space 2}  2.12676{col 37}{space 1}   -6.06{col 46}{space 3}0.000{col 54}{space 4}-17.06717{col 67}{space 3}-8.730425
{txt}~rduration_c {c |}{col 14}{res}{space 2}-39.77813{col 26}{space 2} 6.490743{col 37}{space 1}   -6.13{col 46}{space 3}0.000{col 54}{space 4}-52.49975{col 67}{space 3}-27.05651
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 5.412892{col 26}{space 2} .8936488{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} 3.661373{col 67}{space 3} 7.164412
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1789919{col 26}{space 2} .0294805{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .1212112{col 67}{space 3} .2367726
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0005527{col 26}{space 2} .0002366{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.0010165{col 67}{space 3} -.000089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc8_de
{txt}
{com}. 
. xtpoisson ministry_questions_menmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-620.12817}  
Iteration 1:{space 3}log likelihood = {res:-610.56234}  
Iteration 2:{space 3}log likelihood = {res:-610.49232}  
Iteration 3:{space 3}log likelihood = {res:-610.49202}  
Iteration 4:{space 3}log likelihood = {res:-610.49202}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    18.72
{txt}Log likelihood  = {res}-610.49202{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0091

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}mini~_menmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4322429{col 26}{space 2} .1529245{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1325164{col 67}{space 3} .7319694
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0003528{col 26}{space 2} .0584265{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.1148667{col 67}{space 3} .1141611
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018346{col 26}{space 2} .0043339{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.0103288{col 67}{space 3} .0066597
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0000857{col 26}{space 2} .0493988{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.0967342{col 67}{space 3} .0969055
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0006041{col 26}{space 2} .0011658{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.0028891{col 67}{space 3} .0016809
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0005664{col 26}{space 2}  .000328{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0000766{col 67}{space 3} .0012093
{txt}{space 2}year_month {c |}{col 14}{res}{space 2} -.000802{col 26}{space 2} .0005701{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.0019193{col 67}{space 3} .0003154
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc8_esp
{txt}
{com}. 
. 
. ******** Table A4.11
. esttab model_rc8_at model_rc8_be model_rc8_dk model_rc8_de model_rc8_esp using table_app4_11.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_11.rtf not found)
(output written to {browse  `"table_app4_11.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. *** Test 9: Men MPs from opposition parties only
. *** Table A4.12
. 
. 
. 
. xtpoisson ministry_questions_menoppmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{txt}note: 1 group (44 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1065.7006}  
Iteration 1:{space 3}log likelihood = {res:-717.14406}  
Iteration 2:{space 3}log likelihood = {res:  -693.071}  
Iteration 3:{space 3}log likelihood = {res:-687.35936}  
Iteration 4:{space 3}log likelihood = {res:-686.20989}  
Iteration 5:{space 3}log likelihood = {res:-685.96191}  
Iteration 6:{space 3}log likelihood = {res:-685.90658}  
Iteration 7:{space 3}log likelihood = {res:-685.89288}  
Iteration 8:{space 3}log likelihood = {res:-685.89013}  
Iteration 9:{space 3}log likelihood = {res:-685.88954}  
Iteration 10:{space 2}log likelihood = {res: -685.8894}  
Iteration 11:{space 2}log likelihood = {res:-685.88937}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       244
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      40.7
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    70.57
{txt}Log likelihood  = {res}-685.88937{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~ppmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .6177995{col 26}{space 2} .2562488{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4}  .115561{col 67}{space 3} 1.120038
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0115088{col 26}{space 2} .0344978{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.0561056{col 67}{space 3} .0791232
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0084167{col 26}{space 2} .0058243{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.0198322{col 67}{space 3} .0029988
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 6.993527{col 26}{space 2}  121.794{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-231.7182{col 67}{space 3} 245.7053
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.1769376{col 26}{space 2} .0315349{col 37}{space 1}   -5.61{col 46}{space 3}0.000{col 54}{space 4}-.2387449{col 67}{space 3}-.1151304
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0182036{col 26}{space 2} .3336816{col 37}{space 1}   -0.05{col 46}{space 3}0.956{col 54}{space 4}-.6722076{col 67}{space 3} .6358003
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011975{col 26}{space 2} .0004281{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.0020365{col 67}{space 3}-.0003584
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc9_at
{txt}
{com}. 
. xtpoisson ministry_questions_menoppmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1464.2428}  
Iteration 1:{space 3}log likelihood = {res:-1321.2285}  
Iteration 2:{space 3}log likelihood = {res:-1319.5387}  
Iteration 3:{space 3}log likelihood = {res:-1319.5311}  
Iteration 4:{space 3}log likelihood = {res:-1319.5311}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   240.50
{txt}Log likelihood  = {res}-1319.5311{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~ppmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} -.226961{col 26}{space 2} .0742336{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.3724561{col 67}{space 3}-.0814659
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0743122{col 26}{space 2} .0125927{col 37}{space 1}   -5.90{col 46}{space 3}0.000{col 54}{space 4}-.0989935{col 67}{space 3}-.0496309
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0247681{col 26}{space 2} .0032285{col 37}{space 1}    7.67{col 46}{space 3}0.000{col 54}{space 4} .0184404{col 67}{space 3} .0310958
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0227241{col 26}{space 2} .0182759{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4}-.0130959{col 67}{space 3} .0585441
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0002258{col 26}{space 2} .0005117{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.0012288{col 67}{space 3} .0007771
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0019688{col 26}{space 2} .0006747{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0006465{col 67}{space 3} .0032912
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006569{col 26}{space 2} .0002733{col 37}{space 1}   -2.40{col 46}{space 3}0.016{col 54}{space 4}-.0011925{col 67}{space 3}-.0001212
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc9_be
{txt}
{com}. 
. xtpoisson ministry_questions_menoppmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2638.4293}  
Iteration 1:{space 3}log likelihood = {res:-2599.3396}  
Iteration 2:{space 3}log likelihood = {res:-2599.2605}  
Iteration 3:{space 3}log likelihood = {res:-2599.2605}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    74.92
{txt}Log likelihood  = {res}-2599.2605{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~ppmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1043941{col 26}{space 2} .0344573{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0368591{col 67}{space 3} .1719291
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0129088{col 26}{space 2} .0054242{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.0235399{col 67}{space 3}-.0022776
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0019037{col 26}{space 2} .0004476{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.0027811{col 67}{space 3}-.0010264
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0821411{col 26}{space 2} .0162941{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .0502053{col 67}{space 3} .1140769
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0034961{col 26}{space 2}  .001173{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-.0057951{col 67}{space 3}-.0011972
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} -.000102{col 26}{space 2} .0000321{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-.0001649{col 67}{space 3}-.0000391
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0008783{col 26}{space 2} .0002554{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-.0013788{col 67}{space 3}-.0003778
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc9_dk
{txt}
{com}. 
. xtpoisson ministry_questions_menoppmps i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-970.69396}  
Iteration 1:{space 3}log likelihood = {res:-856.96644}  
Iteration 2:{space 3}log likelihood = {res:-855.70246}  
Iteration 3:{space 3}log likelihood = {res: -855.7016}  
Iteration 4:{space 3}log likelihood = {res: -855.7016}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   202.02
{txt}Log likelihood  = {res} -855.7016{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~ppmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.198128{col 26}{space 2}  .114911{col 37}{space 1}   10.43{col 46}{space 3}0.000{col 54}{space 4} .9729067{col 67}{space 3} 1.423349
{txt}~pduration_c {c |}{col 14}{res}{space 2} -12.8988{col 26}{space 2}  2.12676{col 37}{space 1}   -6.06{col 46}{space 3}0.000{col 54}{space 4}-17.06717{col 67}{space 3}-8.730425
{txt}~rduration_c {c |}{col 14}{res}{space 2}-39.77813{col 26}{space 2} 6.490743{col 37}{space 1}   -6.13{col 46}{space 3}0.000{col 54}{space 4}-52.49975{col 67}{space 3}-27.05651
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 5.412892{col 26}{space 2} .8936488{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} 3.661373{col 67}{space 3} 7.164412
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1789919{col 26}{space 2} .0294805{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .1212112{col 67}{space 3} .2367726
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0005527{col 26}{space 2} .0002366{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.0010165{col 67}{space 3} -.000089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc9_de
{txt}
{com}. 
. xtpoisson ministry_questions_menoppmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-620.12817}  
Iteration 1:{space 3}log likelihood = {res:-610.56234}  
Iteration 2:{space 3}log likelihood = {res:-610.49232}  
Iteration 3:{space 3}log likelihood = {res:-610.49202}  
Iteration 4:{space 3}log likelihood = {res:-610.49202}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    18.72
{txt}Log likelihood  = {res}-610.49202{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0091

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~ppmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4322429{col 26}{space 2} .1529245{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1325164{col 67}{space 3} .7319694
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0003528{col 26}{space 2} .0584265{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.1148667{col 67}{space 3} .1141611
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018346{col 26}{space 2} .0043339{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.0103288{col 67}{space 3} .0066597
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0000857{col 26}{space 2} .0493988{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.0967342{col 67}{space 3} .0969055
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0006041{col 26}{space 2} .0011658{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.0028891{col 67}{space 3} .0016809
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0005664{col 26}{space 2}  .000328{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0000766{col 67}{space 3} .0012093
{txt}{space 2}year_month {c |}{col 14}{res}{space 2} -.000802{col 26}{space 2} .0005701{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.0019193{col 67}{space 3} .0003154
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc9_esp
{txt}
{com}. 
. ******** Table A4.12
. esttab model_rc9_at model_rc9_be model_rc9_dk model_rc9_de model_rc9_esp using table_app4_12.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_12.rtf not found)
(output written to {browse  `"table_app4_12.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. *** Test 10: Men MPs from parties with different ideological leanings than ministers
. *** Table A4.13
. 
. 
. 
. 
. xtpoisson ministry_questions_mencompmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{txt}note: 1 group (44 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1012.0059}  
Iteration 1:{space 3}log likelihood = {res:-819.68944}  
Iteration 2:{space 3}log likelihood = {res:-805.54194}  
Iteration 3:{space 3}log likelihood = {res:-802.43303}  
Iteration 4:{space 3}log likelihood = {res:-801.75857}  
Iteration 5:{space 3}log likelihood = {res:-801.59325}  
Iteration 6:{space 3}log likelihood = {res:-801.55934}  
Iteration 7:{space 3}log likelihood = {res:-801.55211}  
Iteration 8:{space 3}log likelihood = {res:-801.55047}  
Iteration 9:{space 3}log likelihood = {res:-801.55007}  
Iteration 10:{space 2}log likelihood = {res:-801.54999}  
Iteration 11:{space 2}log likelihood = {res:-801.54997}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       244
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         6

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      40.7
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    97.11
{txt}Log likelihood  = {res}-801.54997{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~mpmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.029017{col 26}{space 2} .2355072{col 37}{space 1}    4.37{col 46}{space 3}0.000{col 54}{space 4} .5674312{col 67}{space 3} 1.490603
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0939169{col 26}{space 2} .0347069{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0258925{col 67}{space 3} .1619412
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} -.020401{col 26}{space 2}  .005155{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-.0305046{col 67}{space 3}-.0102973
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 7.061487{col 26}{space 2} 178.3788{col 37}{space 1}    0.04{col 46}{space 3}0.968{col 54}{space 4}-342.5545{col 67}{space 3} 356.6775
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.157647{col 26}{space 2} .0259354{col 37}{space 1}   -6.08{col 46}{space 3}0.000{col 54}{space 4}-.2084794{col 67}{space 3}-.1068146
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0180027{col 26}{space 2} .4887088{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4}-.9758544{col 67}{space 3} .9398491
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0011824{col 26}{space 2} .0004112{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.0019884{col 67}{space 3}-.0003764
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc10_at
{txt}
{com}. 
. xtpoisson ministry_questions_mencompmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1518.0323}  
Iteration 1:{space 3}log likelihood = {res: -1320.407}  
Iteration 2:{space 3}log likelihood = {res:-1319.2178}  
Iteration 3:{space 3}log likelihood = {res:-1319.2139}  
Iteration 4:{space 3}log likelihood = {res:-1319.2139}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   341.31
{txt}Log likelihood  = {res}-1319.2139{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~mpmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.3208676{col 26}{space 2} .0725003{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4}-.4629656{col 67}{space 3}-.1787695
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0643036{col 26}{space 2} .0126321{col 37}{space 1}   -5.09{col 46}{space 3}0.000{col 54}{space 4} -.089062{col 67}{space 3}-.0395452
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0151948{col 26}{space 2} .0033925{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0085456{col 67}{space 3} .0218441
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0266669{col 26}{space 2} .0166345{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.0592699{col 67}{space 3} .0059361
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0014246{col 26}{space 2} .0004779{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .0004879{col 67}{space 3} .0023612
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0044448{col 26}{space 2} .0008981{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .0026844{col 67}{space 3} .0062051
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0014807{col 26}{space 2} .0002621{col 37}{space 1}   -5.65{col 46}{space 3}0.000{col 54}{space 4}-.0019944{col 67}{space 3}-.0009671
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc10_be
{txt}
{com}. 
. xtpoisson ministry_questions_mencompmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3036.6496}  
Iteration 1:{space 3}log likelihood = {res:-2993.8215}  
Iteration 2:{space 3}log likelihood = {res:-2993.7469}  
Iteration 3:{space 3}log likelihood = {res:-2993.7469}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    82.74
{txt}Log likelihood  = {res}-2993.7469{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~mpmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1777548{col 26}{space 2} .0324281{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .1141969{col 67}{space 3} .2413126
{txt}~pduration_c {c |}{col 14}{res}{space 2} -.002779{col 26}{space 2} .0050622{col 37}{space 1}   -0.55{col 46}{space 3}0.583{col 54}{space 4}-.0127008{col 67}{space 3} .0071428
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0024031{col 26}{space 2} .0004024{col 37}{space 1}   -5.97{col 46}{space 3}0.000{col 54}{space 4}-.0031919{col 67}{space 3}-.0016143
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0516052{col 26}{space 2} .0154486{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .0213264{col 67}{space 3} .0818839
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0009591{col 26}{space 2} .0009936{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.0029065{col 67}{space 3} .0009883
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001403{col 26}{space 2} .0000322{col 37}{space 1}   -4.36{col 46}{space 3}0.000{col 54}{space 4}-.0002034{col 67}{space 3}-.0000773
{txt}{space 2}year_month {c |}{col 14}{res}{space 2} -.000613{col 26}{space 2} .0002353{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-.0010742{col 67}{space 3}-.0001517
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc10_dk
{txt}
{com}. 
. xtpoisson ministry_questions_mencompmps i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -918.3494}  
Iteration 1:{space 3}log likelihood = {res:-837.44642}  
Iteration 2:{space 3}log likelihood = {res:-837.37463}  
Iteration 3:{space 3}log likelihood = {res:-837.37461}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   146.40
{txt}Log likelihood  = {res}-837.37461{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~mpmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.153462{col 26}{space 2} .1182907{col 37}{space 1}    9.75{col 46}{space 3}0.000{col 54}{space 4} .9216159{col 67}{space 3} 1.385307
{txt}~pduration_c {c |}{col 14}{res}{space 2}-11.54596{col 26}{space 2} 1.884268{col 37}{space 1}   -6.13{col 46}{space 3}0.000{col 54}{space 4}-15.23906{col 67}{space 3}-7.852864
{txt}~rduration_c {c |}{col 14}{res}{space 2}-35.67561{col 26}{space 2} 5.755475{col 37}{space 1}   -6.20{col 46}{space 3}0.000{col 54}{space 4}-46.95613{col 67}{space 3}-24.39509
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 4.855537{col 26}{space 2} .7922178{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} 3.302818{col 67}{space 3} 6.408255
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1602831{col 26}{space 2} .0261229{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .1090833{col 67}{space 3}  .211483
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0001111{col 26}{space 2} .0003316{col 37}{space 1}   -0.33{col 46}{space 3}0.738{col 54}{space 4} -.000761{col 67}{space 3} .0005389
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc10_de
{txt}
{com}. 
. xtpoisson ministry_questions_mencompmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe
{txt}note: 3 groups (121 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-759.45853}  
Iteration 1:{space 3}log likelihood = {res:-738.30196}  
Iteration 2:{space 3}log likelihood = {res:-738.23964}  
Iteration 3:{space 3}log likelihood = {res:-738.23964}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       762
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        17

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    36.81
{txt}Log likelihood  = {res}-738.23964{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}minist~mpmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1764783{col 26}{space 2} .1541154{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.1255824{col 67}{space 3} .4785389
{txt}~pduration_c {c |}{col 14}{res}{space 2} .1383886{col 26}{space 2}  .048519{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0432931{col 67}{space 3} .2334841
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0079406{col 26}{space 2} .0032461{col 37}{space 1}   -2.45{col 46}{space 3}0.014{col 54}{space 4}-.0143028{col 67}{space 3}-.0015784
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0357829{col 26}{space 2} .0566081{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.0751668{col 67}{space 3} .1467327
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0088943{col 26}{space 2}  .028861{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.0654609{col 67}{space 3} .0476722
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001491{col 26}{space 2} .0003317{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0005009{col 67}{space 3} .0007991
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0009164{col 26}{space 2} .0004191{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-.0017378{col 67}{space 3} -.000095
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc10_esp
{txt}
{com}. 
. 
. 
. ******** Table A4.13
. esttab model_rc10_at model_rc10_be model_rc10_dk model_rc10_de model_rc10_esp using table_app4_13.rtf, b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_13.rtf not found)
(output written to {browse  `"table_app4_13.rtf"'})

{com}. 
. 
. 
. 
. 
. *** Test 11: MPs belonging to ideologically left-wing parties only
. *** Table A4.14
. 
. 
. xtpoisson ministry_questions_leftmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-882.06461}  
Iteration 1:{space 3}log likelihood = {res:-703.54763}  
Iteration 2:{space 3}log likelihood = {res:-689.81923}  
Iteration 3:{space 3}log likelihood = {res:-686.77627}  
Iteration 4:{space 3}log likelihood = {res:-686.10996}  
Iteration 5:{space 3}log likelihood = {res:-685.94484}  
Iteration 6:{space 3}log likelihood = {res:-685.91185}  
Iteration 7:{space 3}log likelihood = {res:-685.90475}  
Iteration 8:{space 3}log likelihood = {res:-685.90312}  
Iteration 9:{space 3}log likelihood = {res:-685.90273}  
Iteration 10:{space 2}log likelihood = {res:-685.90265}  
Iteration 11:{space 2}log likelihood = {res:-685.90264}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       288
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         7

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      41.1
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    71.75
{txt}Log likelihood  = {res}-685.90264{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministr~tmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.024775{col 26}{space 2} .2375309{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .5592229{col 67}{space 3} 1.490327
{txt}~pduration_c {c |}{col 14}{res}{space 2} .1021091{col 26}{space 2} .0349898{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0335304{col 67}{space 3} .1706878
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0218325{col 26}{space 2} .0052304{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-.0320839{col 67}{space 3}-.0115811
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}  7.17629{col 26}{space 2} 259.3416{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-501.1238{col 67}{space 3} 515.4764
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.142613{col 26}{space 2} .0327476{col 37}{space 1}   -4.35{col 46}{space 3}0.000{col 54}{space 4}-.2067971{col 67}{space 3}-.0784289
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0184043{col 26}{space 2} .7105247{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-1.411007{col 67}{space 3} 1.374199
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0017942{col 26}{space 2} .0004809{col 37}{space 1}   -3.73{col 46}{space 3}0.000{col 54}{space 4}-.0027368{col 67}{space 3}-.0008516
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc11_at
{txt}
{com}. 
. xtpoisson ministry_questions_leftmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 3 groups (152 obs) dropped because of all zero outcomes
note: minister_ministerpfduration_c omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-835.38955}  
Iteration 1:{space 3}log likelihood = {res:-815.93796}  
Iteration 2:{space 3}log likelihood = {res:-815.89326}  
Iteration 3:{space 3}log likelihood = {res:-815.89326}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       330
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         8

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      41.3
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    39.28
{txt}Log likelihood  = {res}-815.89326{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministr~tmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.1415711{col 26}{space 2} .0981823{col 37}{space 1}   -1.44{col 46}{space 3}0.149{col 54}{space 4}-.3340049{col 67}{space 3} .0508627
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0577841{col 26}{space 2} .0172673{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4}-.0916273{col 67}{space 3}-.0239409
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0151052{col 26}{space 2}  .006456{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0024517{col 67}{space 3} .0277586
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0480113{col 26}{space 2} .0309493{col 37}{space 1}    1.55{col 46}{space 3}0.121{col 54}{space 4}-.0126482{col 67}{space 3} .1086708
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0010928{col 26}{space 2} .0008577{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4} -.002774{col 67}{space 3} .0005883
{txt}{space 12} {c |}
{space 2}year_month {c |}{col 14}{res}{space 2} -.000758{col 26}{space 2}  .000352{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-.0014479{col 67}{space 3}-.0000681
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc11_be
{txt}
{com}. 
. xtpoisson ministry_questions_leftmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2621.7407}  
Iteration 1:{space 3}log likelihood = {res:  -2577.38}  
Iteration 2:{space 3}log likelihood = {res:-2577.2327}  
Iteration 3:{space 3}log likelihood = {res:-2577.2327}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    84.88
{txt}Log likelihood  = {res}-2577.2327{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministr~tmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2053106{col 26}{space 2} .0361618{col 37}{space 1}    5.68{col 46}{space 3}0.000{col 54}{space 4} .1344348{col 67}{space 3} .2761865
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.0090207{col 26}{space 2} .0088849{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.0264348{col 67}{space 3} .0083935
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0026819{col 26}{space 2} .0005907{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-.0038396{col 67}{space 3}-.0015241
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0648405{col 26}{space 2} .0212848{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4}  .023123{col 67}{space 3}  .106558
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0022674{col 26}{space 2}  .001345{col 37}{space 1}   -1.69{col 46}{space 3}0.092{col 54}{space 4}-.0049037{col 67}{space 3} .0003688
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001206{col 26}{space 2} .0000337{col 37}{space 1}   -3.58{col 46}{space 3}0.000{col 54}{space 4}-.0001866{col 67}{space 3}-.0000546
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007852{col 26}{space 2}  .000262{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4}-.0012987{col 67}{space 3}-.0002716
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc11_dk
{txt}
{com}. 
. xtpoisson ministry_questions_leftmps i.minister_gender c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1066.1699}  
Iteration 1:{space 3}log likelihood = {res:-938.96871}  
Iteration 2:{space 3}log likelihood = {res:-937.59637}  
Iteration 3:{space 3}log likelihood = {res:-937.59628}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       238
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.6
{txt}{col 63}max{col 67}={col 69}{res}        49

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   208.69
{txt}Log likelihood  = {res}-937.59628{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministr~tmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .3379292{col 26}{space 2} .1908811{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0361909{col 67}{space 3} .7120494
{txt}~pduration_c {c |}{col 14}{res}{space 2}-.5888708{col 26}{space 2} 2.764445{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-6.007083{col 67}{space 3} 4.829341
{txt}~rduration_c {c |}{col 14}{res}{space 2}-2.026088{col 26}{space 2} 8.477031{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-18.64076{col 67}{space 3} 14.58859
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .2320374{col 26}{space 2} 1.163657{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-2.048689{col 67}{space 3} 2.512764
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .008216{col 26}{space 2} .0383548{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4} -.066958{col 67}{space 3}   .08339
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0004095{col 26}{space 2}  .000175{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.0007526{col 67}{space 3}-.0000665
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc11_de
{txt}
{com}. 
. xtpoisson ministry_questions_leftmps i.minister_gender c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1233.7276}  
Iteration 1:{space 3}log likelihood = {res:-1199.1332}  
Iteration 2:{space 3}log likelihood = {res:-1198.8242}  
Iteration 3:{space 3}log likelihood = {res: -1198.824}  
Iteration 4:{space 3}log likelihood = {res: -1198.824}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    63.57
{txt}Log likelihood  = {res} -1198.824{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministr~tmps{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4000089{col 26}{space 2} .0949574{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} .2138958{col 67}{space 3}  .586122
{txt}~pduration_c {c |}{col 14}{res}{space 2} .0833049{col 26}{space 2} .0366579{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0114566{col 67}{space 3} .1551531
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0060425{col 26}{space 2} .0026326{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.0112023{col 67}{space 3}-.0008828
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0816829{col 26}{space 2} .0297452{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0233834{col 67}{space 3} .1399824
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0023177{col 26}{space 2} .0007046{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-.0036987{col 67}{space 3}-.0009368
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001045{col 26}{space 2} .0002239{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}-.0003343{col 67}{space 3} .0005433
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0013675{col 26}{space 2} .0003222{col 37}{space 1}   -4.24{col 46}{space 3}0.000{col 54}{space 4} -.001999{col 67}{space 3} -.000736
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc11_esp
{txt}
{com}. 
. 
. 
. 
. ******** Table A4.14
. esttab model_rc11_at model_rc11_be model_rc11_dk model_rc11_de model_rc11_esp using table_app4_14.rtf, b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_14.rtf not found)
(output written to {browse  `"table_app4_14.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. *** Test 12: Interaction model with decades
. *** Table A4.15/Figure A4.2
. 
. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.decade c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1914.7022}  
Iteration 2:{space 3}log likelihood = {res:-1910.8522}  
Iteration 3:{space 3}log likelihood = {res:-1910.8219}  
Iteration 4:{space 3}log likelihood = {res:-1910.8219}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1910.8219{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.7932152{col 26}{space 2} .2028429{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4} -1.19078{col 67}{space 3}-.3956505
{txt}{space 12} {c |}
{space 6}decade {c |}
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}2010  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
{space 6}decade {c |}
{space 5}2 2000  {c |}{col 14}{res}{space 2} -2.04171{col 26}{space 2} .4703701{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-2.963619{col 67}{space 3}-1.119802
{txt}{space 5}2 2010  {c |}{col 14}{res}{space 2}  .718227{col 26}{space 2} .2566072{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .2152862{col 67}{space 3} 1.221168
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.1818875{col 26}{space 2} .0288492{col 37}{space 1}   -6.30{col 46}{space 3}0.000{col 54}{space 4}-.2384309{col 67}{space 3} -.125344
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0014611{col 26}{space 2} .0051098{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4} -.008554{col 67}{space 3} .0114761
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.2650186{col 26}{space 2} .0638778{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.3902168{col 67}{space 3}-.1398204
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0085725{col 26}{space 2}  .001927{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .0047958{col 67}{space 3} .0123493
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0145801{col 26}{space 2} .0026649{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4}  .009357{col 67}{space 3} .0198033
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0010453{col 26}{space 2} .0001718{col 37}{space 1}   -6.09{col 46}{space 3}0.000{col 54}{space 4}-.0013819{col 67}{space 3}-.0007087
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc12_be
{txt}
{com}. 
. margins, dydx(minister_gender) at(decade=(1990 2000 2010)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       428
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}1990}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}2000}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}2010}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.7932152{col 26}{space 2} .2028429{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4} -1.19078{col 67}{space 3}-.3956505
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-2.834925{col 26}{space 2} .5603991{col 37}{space 1}   -5.06{col 46}{space 3}0.000{col 54}{space 4}-3.933287{col 67}{space 3}-1.736563
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0749883{col 26}{space 2} .0952114{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.2615992{col 67}{space 3} .1116227
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Belgium) ylabel(,notick angle(horizontal) nogrid) xlabel(, noticks) ytitle("minister = woman") xtitle("decade") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: decade{p_end}
{res}{txt}
{com}. graph save figure_app4_2_be.gph,replace
{txt}(note: file figure_app4_2_be.gph not found)
{res}{txt}(file figure_app4_2_be.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.decade c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res: -3223.719}  
Iteration 2:{space 3}log likelihood = {res:-3223.6968}  
Iteration 3:{space 3}log likelihood = {res:-3223.6968}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-3223.6968{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .5902286{col 26}{space 2} .5047017{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.3989684{col 67}{space 3} 1.579426
{txt}{space 12} {c |}
{space 6}decade {c |}
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}2010  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
{space 6}decade {c |}
{space 5}2 2000  {c |}{col 14}{res}{space 2}-.3603962{col 26}{space 2} .5052368{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4}-1.350642{col 67}{space 3} .6298497
{txt}{space 5}2 2010  {c |}{col 14}{res}{space 2}-.5287167{col 26}{space 2} .5060494{col 37}{space 1}   -1.04{col 46}{space 3}0.296{col 54}{space 4}-1.520555{col 67}{space 3} .4631219
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0078057{col 26}{space 2}  .004997{col 37}{space 1}   -1.56{col 46}{space 3}0.118{col 54}{space 4}-.0175996{col 67}{space 3} .0019882
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0014789{col 26}{space 2} .0003901{col 37}{space 1}   -3.79{col 46}{space 3}0.000{col 54}{space 4}-.0022435{col 67}{space 3}-.0007143
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0579682{col 26}{space 2} .0139927{col 37}{space 1}    4.14{col 46}{space 3}0.000{col 54}{space 4}  .030543{col 67}{space 3} .0853933
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.002211{col 26}{space 2} .0009317{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-.0040371{col 67}{space 3}-.0003848
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001275{col 26}{space 2} .0000278{col 37}{space 1}   -4.59{col 46}{space 3}0.000{col 54}{space 4} -.000182{col 67}{space 3} -.000073
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0010066{col 26}{space 2}  .000226{col 37}{space 1}   -4.45{col 46}{space 3}0.000{col 54}{space 4}-.0014496{col 67}{space 3}-.0005636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc12_dk
{txt}
{com}. 
. margins, dydx(minister_gender) at(decade=(1990 2000 2010) )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       973
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}1990}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}2000}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}2010}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5902286{col 26}{space 2} .5047017{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.3989684{col 67}{space 3} 1.579426
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2298324{col 26}{space 2} .0446355{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .1423484{col 67}{space 3} .3173164
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .061512{col 26}{space 2} .0405183{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0179025{col 67}{space 3} .1409264
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Denmark) ylabel(,notick angle(horizontal) nogrid) xlabel(, noticks) ytitle("minister = woman") xtitle("decade") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: decade{p_end}
{res}{txt}
{com}. graph save figure_app4_2_dk.gph,replace
{txt}(note: file figure_app4_2_dk.gph not found)
{res}{txt}(file figure_app4_2_dk.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.decade c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1260.4642}  
Iteration 2:{space 3}log likelihood = {res:-1260.1045}  
Iteration 3:{space 3}log likelihood = {res:-1260.1031}  
Iteration 4:{space 3}log likelihood = {res:-1260.1031}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1260.1031{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1738134{col 26}{space 2} .2297603{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.2765086{col 67}{space 3} .6241354
{txt}{space 12} {c |}
{space 6}decade {c |}
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}2010  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
{space 6}decade {c |}
{space 5}2 2000  {c |}{col 14}{res}{space 2} .2376819{col 26}{space 2} .2502838{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.2528653{col 67}{space 3} .7282292
{txt}{space 5}2 2010  {c |}{col 14}{res}{space 2} .5486503{col 26}{space 2} .3292668{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0967008{col 67}{space 3} 1.194001
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0797647{col 26}{space 2} .0340903{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4}  .012949{col 67}{space 3} .1465804
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0074263{col 26}{space 2} .0027301{col 37}{space 1}   -2.72{col 46}{space 3}0.007{col 54}{space 4}-.0127773{col 67}{space 3}-.0020753
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2}  .088557{col 26}{space 2} .0283619{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0329688{col 67}{space 3} .1441452
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0026012{col 26}{space 2} .0006958{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.0039648{col 67}{space 3}-.0012375
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001508{col 26}{space 2} .0002139{col 37}{space 1}    0.70{col 46}{space 3}0.481{col 54}{space 4}-.0002684{col 67}{space 3}   .00057
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0013307{col 26}{space 2} .0003304{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.0019784{col 67}{space 3}-.0006831
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc12_esp
{txt}
{com}. 
. margins, dydx(minister_gender) at(decade=(1990 2000 2010)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       852
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}1990}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}2000}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:decade}{space 10}{txt:=} {space 7}2010}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1738134{col 26}{space 2} .2297603{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.2765086{col 67}{space 3} .6241354
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4114953{col 26}{space 2} .1002743{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .2149612{col 67}{space 3} .6080294
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .7224637{col 26}{space 2} .2592808{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .2142827{col 67}{space 3} 1.230645
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Spain) ylabel(,notick angle(horizontal) nogrid) xlabel(, noticks) ytitle("minister = woman") xtitle("decade") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: decade{p_end}
{res}{txt}
{com}. graph save figure_app4_2_esp.gph,replace
{txt}(note: file figure_app4_2_esp.gph not found)
{res}{txt}(file figure_app4_2_esp.gph saved)

{com}. 
. 
. 
. ******Figure A4.2
. graph combine figure_app4_2_be.gph figure_app4_2_dk.gph figure_app4_2_esp.gph , cols(3) graphregion(color(white)) ycommon
{res}{txt}
{com}. 
. 
. *** Table A4.3
. esttab model_rc12_be model_rc12_dk model_rc12_esp using table_app4_15.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app4_15.rtf not found)
(output written to {browse  `"table_app4_15.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. *** Test 13: Interaction model with time since the government entered office
. *** Table A4.16 & Figure A4.3
. 
. 
. 
. xtpoisson ministry_questions_all i.minister_gender##c.year_month_rel_ln c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="austria", fe 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1321.3918}  
Iteration 1:{space 3}log likelihood = {res:-976.86093}  
Iteration 2:{space 3}log likelihood = {res: -937.9186}  
Iteration 3:{space 3}log likelihood = {res:-929.06021}  
Iteration 4:{space 3}log likelihood = {res:-926.93318}  
Iteration 5:{space 3}log likelihood = {res:-926.51926}  
Iteration 6:{space 3}log likelihood = {res:-926.44981}  
Iteration 7:{space 3}log likelihood = {res:-926.43343}  
Iteration 8:{space 3}log likelihood = {res:-926.42972}  
Iteration 9:{space 3}log likelihood = {res:-926.42892}  
Iteration 10:{space 2}log likelihood = {res:-926.42878}  
Iteration 11:{space 2}log likelihood = {res:-926.42877}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       275
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         7

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        28
{txt}{col 63}avg{col 67}={col 69}{res}      39.3
{txt}{col 63}max{col 67}={col 69}{res}        48

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}   134.27
{txt}Log likelihood  = {res}-926.42877{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} 1.955374{col 26}{space 2} .4069267{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} 1.157813{col 67}{space 3} 2.752936
{txt}year_month~n {c |}{col 14}{res}{space 2}-.0211575{col 26}{space 2} .0498364{col 37}{space 1}   -0.42{col 46}{space 3}0.671{col 54}{space 4} -.118835{col 67}{space 3} .0765199
{txt}{space 12} {c |}
minister_g~r#{c |}
{space 10}c. {c |}
year_month~n {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.3578396{col 26}{space 2}  .129215{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.6110964{col 67}{space 3}-.1045829
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0443654{col 26}{space 2} .0267291{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0080226{col 67}{space 3} .0967535
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0151028{col 26}{space 2}  .004302{col 37}{space 1}   -3.51{col 46}{space 3}0.000{col 54}{space 4}-.0235345{col 67}{space 3}-.0066711
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} 7.483882{col 26}{space 2} 209.0152{col 37}{space 1}    0.04{col 46}{space 3}0.971{col 54}{space 4}-402.1784{col 67}{space 3} 417.1462
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.1979232{col 26}{space 2} .0231878{col 37}{space 1}   -8.54{col 46}{space 3}0.000{col 54}{space 4}-.2433705{col 67}{space 3}-.1524758
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0191312{col 26}{space 2} .5726443{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-1.141493{col 67}{space 3} 1.103231
{txt}{space 2}year_month {c |}{col 14}{res}{space 2} .0001143{col 26}{space 2} .0005875{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-.0010371{col 67}{space 3} .0012657
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc13_at
{txt}
{com}. margins, dydx(minister_gender) at(year_month_rel_ln=(0 (0.5) 4) )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       275
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.955374{col 26}{space 2} .4069267{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} 1.157813{col 67}{space 3} 2.752936
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.776454{col 26}{space 2} .3510207{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} 1.088467{col 67}{space 3} 2.464442
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.597535{col 26}{space 2} .2986469{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} 1.012197{col 67}{space 3} 2.182872
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.418615{col 26}{space 2} .2520172{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .9246701{col 67}{space 3} 1.912559
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.239695{col 26}{space 2} .2149038{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} .8184913{col 67}{space 3} 1.660899
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.060775{col 26}{space 2} .1928804{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .6827364{col 67}{space 3} 1.438814
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8818553{col 26}{space 2} .1912337{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .5070441{col 67}{space 3} 1.256667
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .7029355{col 26}{space 2} .2104426{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .2904756{col 67}{space 3} 1.115395
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5240157{col 26}{space 2} .2456626{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4}  .042526{col 67}{space 3} 1.005505
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, recast(line) ciopts(recast(rarea) fcolor(%20) lcolor(gs10)) ///
> ylabel(, angle(horizontal)) ///
>  title("Austria") ///
>  graphregion(color(white)) ///
>  plotregion(color(white)) ///
>  ylabel(,nogrid noticks) ///
>  xlabel(, noticks) xtitle("Cabinet duration") ytitle("minister = woman") ///
>          yline(0, lpattern(dash) lcolor(gs12))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: year_month_rel_ln{p_end}
{res}{txt}
{com}. 
. 
. graph save figure_app4_3_at.gph, replace
{txt}(note: file figure_app4_3_at.gph not found)
{res}{txt}(file figure_app4_3_at.gph saved)

{com}. 
. xtpoisson ministry_questions_all i.minister_gender##c.year_month_rel_ln c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium" & year_month_rel_ln<3.9, fe 
{txt}note: 2 groups (96 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1981.7073}  
Iteration 1:{space 3}log likelihood = {res:-1606.3789}  
Iteration 2:{space 3}log likelihood = {res:-1595.7434}  
Iteration 3:{space 3}log likelihood = {res:-1595.6259}  
Iteration 4:{space 3}log likelihood = {res:-1595.6259}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       360
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         9

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      40.0
{txt}{col 63}max{col 67}={col 69}{res}        48

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}   592.59
{txt}Log likelihood  = {res}-1595.6259{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .8731137{col 26}{space 2} .1607647{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .5580208{col 67}{space 3} 1.188207
{txt}year_month~n {c |}{col 14}{res}{space 2} .6670542{col 26}{space 2} .0596559{col 37}{space 1}   11.18{col 46}{space 3}0.000{col 54}{space 4} .5501308{col 67}{space 3} .7839775
{txt}{space 12} {c |}
minister_g~r#{c |}
{space 10}c. {c |}
year_month~n {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.4442583{col 26}{space 2} .0546351{col 37}{space 1}   -8.13{col 46}{space 3}0.000{col 54}{space 4}-.5513411{col 67}{space 3}-.3371754
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0703329{col 26}{space 2} .0092838{col 37}{space 1}   -7.58{col 46}{space 3}0.000{col 54}{space 4}-.0885288{col 67}{space 3} -.052137
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0278558{col 26}{space 2} .0026594{col 37}{space 1}   10.47{col 46}{space 3}0.000{col 54}{space 4} .0226434{col 67}{space 3} .0330682
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0712402{col 26}{space 2}   .01412{col 37}{space 1}    5.05{col 46}{space 3}0.000{col 54}{space 4} .0435654{col 67}{space 3}  .098915
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0012261{col 26}{space 2} .0003885{col 37}{space 1}   -3.16{col 46}{space 3}0.002{col 54}{space 4}-.0019875{col 67}{space 3}-.0004648
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .003069{col 26}{space 2} .0004303{col 37}{space 1}    7.13{col 46}{space 3}0.000{col 54}{space 4} .0022256{col 67}{space 3} .0039123
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0026502{col 26}{space 2} .0002915{col 37}{space 1}   -9.09{col 46}{space 3}0.000{col 54}{space 4}-.0032216{col 67}{space 3}-.0020789
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc13_be
{txt}
{com}. margins, dydx(minister_gender) at(year_month_rel_ln=(0 (0.5) 4))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       360
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8731137{col 26}{space 2} .1607647{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .5580208{col 67}{space 3} 1.188207
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6509846{col 26}{space 2} .1347591{col 37}{space 1}    4.83{col 46}{space 3}0.000{col 54}{space 4} .3868617{col 67}{space 3} .9151075
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4288555{col 26}{space 2} .1093949{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .2144455{col 67}{space 3} .6432655
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2067263{col 26}{space 2} .0852465{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .0396463{col 67}{space 3} .3738063
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0154028{col 26}{space 2} .0637117{col 37}{space 1}   -0.24{col 46}{space 3}0.809{col 54}{space 4}-.1402754{col 67}{space 3} .1094699
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2375319{col 26}{space 2} .0484138{col 37}{space 1}   -4.91{col 46}{space 3}0.000{col 54}{space 4}-.3324213{col 67}{space 3}-.1426425
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.459661{col 26}{space 2} .0460556{col 37}{space 1}   -9.98{col 46}{space 3}0.000{col 54}{space 4}-.5499283{col 67}{space 3}-.3693937
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6817902{col 26}{space 2} .0582308{col 37}{space 1}  -11.71{col 46}{space 3}0.000{col 54}{space 4}-.7959205{col 67}{space 3}-.5676598
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9039193{col 26}{space 2} .0784413{col 37}{space 1}  -11.52{col 46}{space 3}0.000{col 54}{space 4}-1.057661{col 67}{space 3}-.7501771
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, recast(line) ciopts(recast(rarea) fcolor(%20) lcolor(gs10)) ///
> ylabel(, angle(horizontal)) ///
>  title("Belgium") ///
>  graphregion(color(white)) ///
>  plotregion(color(white)) ///
>  ylabel(,nogrid noticks) ///
>  xlabel(, noticks) xtitle("Cabinet duration") ytitle("minister = woman") ///
>          yline(0, lpattern(dash) lcolor(gs12))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: year_month_rel_ln{p_end}
{res}{txt}
{com}. 
. graph save figure_app4_3_be.gph, replace
{txt}(note: file figure_app4_3_be.gph not found)
{res}{txt}(file figure_app4_3_be.gph saved)

{com}. 
. xtpoisson ministry_questions_all i.minister_gender##c.year_month_rel_ln c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3222.0942}  
Iteration 2:{space 3}log likelihood = {res:-3222.0092}  
Iteration 3:{space 3}log likelihood = {res:-3222.0092}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}    88.57
{txt}Log likelihood  = {res}-3222.0092{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .4894303{col 26}{space 2} .1073168{col 37}{space 1}    4.56{col 46}{space 3}0.000{col 54}{space 4} .2790932{col 67}{space 3} .6997674
{txt}year_month~n {c |}{col 14}{res}{space 2} .0519522{col 26}{space 2} .0354532{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0175348{col 67}{space 3} .1214392
{txt}{space 12} {c |}
minister_g~r#{c |}
{space 10}c. {c |}
year_month~n {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1494469{col 26}{space 2} .0441128{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.2359065{col 67}{space 3}-.0629873
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0051656{col 26}{space 2} .0048301{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.0146324{col 67}{space 3} .0043012
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018395{col 26}{space 2}  .000366{col 37}{space 1}   -5.03{col 46}{space 3}0.000{col 54}{space 4} -.002557{col 67}{space 3}-.0011221
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0535521{col 26}{space 2} .0139274{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .0262549{col 67}{space 3} .0808494
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.001669{col 26}{space 2} .0009165{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-.0034652{col 67}{space 3} .0001273
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001135{col 26}{space 2} .0000277{col 37}{space 1}   -4.10{col 46}{space 3}0.000{col 54}{space 4}-.0001677{col 67}{space 3}-.0000592
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006199{col 26}{space 2} .0003446{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.0012954{col 67}{space 3} .0000556
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc13_dk
{txt}
{com}. margins, dydx(minister_gender) at(year_month_rel_ln=(0 (0.5) 4))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       973
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4894303{col 26}{space 2} .1073168{col 37}{space 1}    4.56{col 46}{space 3}0.000{col 54}{space 4} .2790932{col 67}{space 3} .6997674
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4147068{col 26}{space 2} .0862836{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .2455941{col 67}{space 3} .5838196
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3399834{col 26}{space 2} .0659226{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .2107774{col 67}{space 3} .4691894
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .26526{col 26}{space 2} .0471136{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .1729189{col 67}{space 3}  .357601
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1905365{col 26}{space 2} .0326584{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} .1265273{col 67}{space 3} .2545458
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1158131{col 26}{space 2} .0297728{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .0574596{col 67}{space 3} .1741666
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0410896{col 26}{space 2} .0409785{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.0392267{col 67}{space 3} .1214059
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0336338{col 26}{space 2} .0586943{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-.1486726{col 67}{space 3}  .081405
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.1083573{col 26}{space 2} .0786371{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.2624831{col 67}{space 3} .0457685
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, recast(line) ciopts(recast(rarea) fcolor(%20) lcolor(gs10)) ///
> ylabel(, angle(horizontal)) ///
>  title("Denmark") ///
>  graphregion(color(white)) ///
>  plotregion(color(white)) ///
>  ylabel(,nogrid noticks) ///
>  xlabel(, noticks) xtitle("Cabinet duration") ytitle("minister = woman") ///
>          yline(0, lpattern(dash) lcolor(gs12))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: year_month_rel_ln{p_end}
{res}{txt}
{com}. 
. 
. graph save figure_app4_3_dk.gph, replace
{txt}(note: file figure_app4_3_dk.gph not found)
{res}{txt}(file figure_app4_3_dk.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##c.year_month_rel_ln c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="germany", fe 
{txt}note: 1 group (48 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1358.185}  
Iteration 1:{space 3}log likelihood = {res: -1151.581}  
Iteration 2:{space 3}log likelihood = {res:-1148.3592}  
Iteration 3:{space 3}log likelihood = {res:-1148.3554}  
Iteration 4:{space 3}log likelihood = {res:-1148.3554}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       237
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}         5

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        47
{txt}{col 63}avg{col 67}={col 69}{res}      47.4
{txt}{col 63}max{col 67}={col 69}{res}        48

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}   361.69
{txt}Log likelihood  = {res}-1148.3554{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}  .848884{col 26}{space 2} .2199231{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .4178427{col 67}{space 3} 1.279925
{txt}year_month~n {c |}{col 14}{res}{space 2} .1081209{col 26}{space 2} .0333915{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0426749{col 67}{space 3}  .173567
{txt}{space 12} {c |}
minister_g~r#{c |}
{space 10}c. {c |}
year_month~n {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0660514{col 26}{space 2} .0563815{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4}-.0444543{col 67}{space 3} .1765571
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} -12.1732{col 26}{space 2} 1.485244{col 37}{space 1}   -8.20{col 46}{space 3}0.000{col 54}{space 4}-15.08422{col 67}{space 3}-9.262173
{txt}~rduration_c {c |}{col 14}{res}{space 2}-37.55855{col 26}{space 2} 4.546004{col 37}{space 1}   -8.26{col 46}{space 3}0.000{col 54}{space 4}-46.46855{col 67}{space 3}-28.64854
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} 5.107341{col 26}{space 2} .6252407{col 37}{space 1}    8.17{col 46}{space 3}0.000{col 54}{space 4} 3.881892{col 67}{space 3}  6.33279
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .1692784{col 26}{space 2} .0205982{col 37}{space 1}    8.22{col 46}{space 3}0.000{col 54}{space 4} .1289067{col 67}{space 3}   .20965
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0010931{col 26}{space 2} .0002806{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-.0016431{col 67}{space 3}-.0005432
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc13_de
{txt}
{com}. margins, dydx(minister_gender) at(year_month_rel_ln=(0 (0.5) 4))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       237
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .848884{col 26}{space 2} .2199231{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .4178427{col 67}{space 3} 1.279925
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8819097{col 26}{space 2} .1946004{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .5004999{col 67}{space 3} 1.263319
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9149354{col 26}{space 2}  .170182{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4} .5813848{col 67}{space 3} 1.248486
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .9479611{col 26}{space 2} .1471189{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} .6596134{col 67}{space 3} 1.236309
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .9809868{col 26}{space 2} .1261564{col 37}{space 1}    7.78{col 46}{space 3}0.000{col 54}{space 4} .7337248{col 67}{space 3} 1.228249
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.014012{col 26}{space 2} .1085189{col 37}{space 1}    9.34{col 46}{space 3}0.000{col 54}{space 4} .8013194{col 67}{space 3} 1.226706
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.047038{col 26}{space 2} .0960557{col 37}{space 1}   10.90{col 46}{space 3}0.000{col 54}{space 4} .8587724{col 67}{space 3} 1.235304
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 1.080064{col 26}{space 2} .0909203{col 37}{space 1}   11.88{col 46}{space 3}0.000{col 54}{space 4} .9018635{col 67}{space 3} 1.258264
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  1.11309{col 26}{space 2} .0943171{col 37}{space 1}   11.80{col 46}{space 3}0.000{col 54}{space 4} .9282314{col 67}{space 3} 1.297948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, recast(line) ciopts(recast(rarea) fcolor(%20) lcolor(gs10)) ///
> ylabel(, angle(horizontal)) ///
>  title("Germany") ///
>  graphregion(color(white)) ///
>  plotregion(color(white)) ///
>  ylabel(,nogrid noticks) ///
>  xlabel(, noticks) xtitle("Cabinet duration") ytitle("minister = woman") ///
>          yline(0, lpattern(dash) lcolor(gs12))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: year_month_rel_ln{p_end}
{res}{txt}
{com}. 
. 
. graph save figure_app4_3_de.gph, replace
{txt}(note: file figure_app4_3_de.gph not found)
{res}{txt}(file figure_app4_3_de.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##c.year_month_rel_ln##c.year_month_rel_ln c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1261.7468}  
Iteration 1:{space 3}log likelihood = {res:-1224.7109}  
Iteration 2:{space 3}log likelihood = {res:-1224.2643}  
Iteration 3:{space 3}log likelihood = {res:-1224.2641}  
Iteration 4:{space 3}log likelihood = {res:-1224.2641}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       826
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      43.5
{txt}{col 63}max{col 67}={col 69}{res}        48

{txt}{col 49}Wald chi2({res}11{txt}){col 67}={col 70}{res}    68.81
{txt}Log likelihood  = {res}-1224.2641{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .1961065{col 26}{space 2} .4315463{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-.6497087{col 67}{space 3} 1.041922
{txt}year_month~n {c |}{col 14}{res}{space 2} .3801563{col 26}{space 2}  .306302{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.2201847{col 67}{space 3} .9804972
{txt}{space 12} {c |}
minister_g~r#{c |}
{space 10}c. {c |}
year_month~n {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .3477838{col 26}{space 2} .3835987{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.4040559{col 67}{space 3} 1.099624
{txt}{space 12} {c |}
{space 10}c. {c |}
year_month~n#{c |}
{space 10}c. {c |}
year_month~n {c |}{col 14}{res}{space 2}-.0195713{col 26}{space 2}  .082677{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.1816154{col 67}{space 3} .1424727
{txt}{space 12} {c |}
minister_g~r#{c |}
{space 10}c. {c |}
year_month~n#{c |}
{space 10}c. {c |}
year_month~n {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0855011{col 26}{space 2} .0838418{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-.2498281{col 67}{space 3} .0788259
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0632804{col 26}{space 2} .0350153{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0053482{col 67}{space 3} .1319091
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0074088{col 26}{space 2}  .002539{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-.0123851{col 67}{space 3}-.0024326
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0712951{col 26}{space 2} .0289181{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0146167{col 67}{space 3} .1279735
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2} -.002103{col 26}{space 2} .0006877{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.0034508{col 67}{space 3}-.0007552
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0001778{col 26}{space 2} .0002268{col 37}{space 1}    0.78{col 46}{space 3}0.433{col 54}{space 4}-.0002666{col 67}{space 3} .0006222
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0025204{col 26}{space 2}  .001183{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0048389{col 67}{space 3}-.0002018
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc13_esp
{txt}
{com}. margins, dydx(minister_gender) at(year_month_rel_ln=(0 (0.5) 4))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       826
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:year_month~n}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1961065{col 26}{space 2} .4315463{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-.6497087{col 67}{space 3} 1.041922
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3486231{col 26}{space 2} .2951416{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.2298437{col 67}{space 3} .9270899
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4583892{col 26}{space 2} .2155808{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0358586{col 67}{space 3} .8809199
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5254048{col 26}{space 2} .1831796{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .1663794{col 67}{space 3} .8844301
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5496698{col 26}{space 2} .1676742{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .2210344{col 67}{space 3} .8783051
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .5311842{col 26}{space 2} .1430595{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .2507927{col 67}{space 3} .8115757
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4699481{col 26}{space 2} .1070719{col 37}{space 1}    4.39{col 46}{space 3}0.000{col 54}{space 4}  .260091{col 67}{space 3} .6798053
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3659615{col 26}{space 2} .1118454{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .1467486{col 67}{space 3} .5851744
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .2192243{col 26}{space 2} .2134123{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1990562{col 67}{space 3} .6375047
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, recast(line) ciopts(recast(rarea) fcolor(%20) lcolor(gs10)) ///
> ylabel(, angle(horizontal)) ///
>  title("Spain") ///
>  graphregion(color(white)) ///
>  plotregion(color(white)) ///
>  ylabel(,nogrid noticks) ///
>  xlabel(, noticks) xtitle("Cabinet duration") ytitle("minister = woman") ///
>          yline(0, lpattern(dash) lcolor(gs12))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: year_month_rel_ln{p_end}
{res}{txt}
{com}. 
. 
. 
. graph save figure_app4_3_esp.gph, replace
{txt}(note: file figure_app4_3_esp.gph not found)
{res}{txt}(file figure_app4_3_esp.gph saved)

{com}. 
. 
. 
. 
. ********** Figure A4.3 
. graph combine figure_app4_3_at.gph figure_app4_3_be.gph figure_app4_3_dk.gph figure_app4_3_de.gph figure_app4_3_esp.gph, ycommon xcommon
{res}{txt}
{com}. 
. 
. 
. ******** Table A4.16
. esttab model_rc13_at model_rc13_be model_rc13_dk model_rc13_de model_rc13_esp using table_app4_16.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace 
{res}{txt}(note: file table_app4_16.rtf not found)
(output written to {browse  `"table_app4_16.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. *** Section: Alternative measures of portfolio content
. *** Test 14: Interaction model with heightened policy-making activities of portfolio
. *** Tables A4.17 & A4.18/Figure A4.4
. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_highpolicyportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1922.7595}  
Iteration 2:{space 3}log likelihood = {res:-1918.6459}  
Iteration 3:{space 3}log likelihood = {res:-1918.6121}  
Iteration 4:{space 3}log likelihood = {res:-1918.6121}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1918.6121{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.4403391{col 26}{space 2}  .042364{col 37}{space 1}  -10.39{col 46}{space 3}0.000{col 54}{space 4}-.5233709{col 67}{space 3}-.3573072
{txt}1.m~olicyp~o {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
m~yportfolio {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2}-.3751288{col 26}{space 2} .1776901{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4} -.723395{col 67}{space 3}-.0268626
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.1134215{col 26}{space 2} .0160978{col 37}{space 1}   -7.05{col 46}{space 3}0.000{col 54}{space 4}-.1449726{col 67}{space 3}-.0818704
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0252434{col 26}{space 2}  .003139{col 37}{space 1}    8.04{col 46}{space 3}0.000{col 54}{space 4}  .019091{col 67}{space 3} .0313957
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0427659{col 26}{space 2} .0203473{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4}  .002886{col 67}{space 3} .0826459
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0006799{col 26}{space 2} .0005749{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-.0018067{col 67}{space 3} .0004469
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0027851{col 26}{space 2} .0004609{col 37}{space 1}    6.04{col 46}{space 3}0.000{col 54}{space 4} .0018818{col 67}{space 3} .0036883
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007431{col 26}{space 2} .0001591{col 37}{space 1}   -4.67{col 46}{space 3}0.000{col 54}{space 4} -.001055{col 67}{space 3}-.0004312
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc14_be
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_highpolicyportfolio=(0 1 )) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       428
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_highpolicyportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_highpolicyportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4403391{col 26}{space 2}  .042364{col 37}{space 1}  -10.39{col 46}{space 3}0.000{col 54}{space 4}-.5233709{col 67}{space 3}-.3573072
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.8154679{col 26}{space 2} .1861037{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-1.180224{col 67}{space 3}-.4507112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Belgium) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"no" 1"yes", noticks) ytitle("minister = woman") xtitle("ministry of heightened policy-making activity ") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_highpolicyportfolio{p_end}
{res}{txt}
{com}. graph save figure_app4_4_be.gph,replace
{txt}(note: file figure_app4_4_be.gph not found)
{res}{txt}(file figure_app4_4_be.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_highpolicyportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3221.4829}  
Iteration 2:{space 3}log likelihood = {res:-3221.4622}  
Iteration 3:{space 3}log likelihood = {res:-3221.4622}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-3221.4622{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .0699194{col 26}{space 2} .0349431{col 37}{space 1}    2.00{col 46}{space 3}0.045{col 54}{space 4} .0014323{col 67}{space 3} .1384065
{txt}1.m~olicyp~o {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
m~yportfolio {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} .2528013{col 26}{space 2} .0714756{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .1127117{col 67}{space 3} .3928908
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0068403{col 26}{space 2} .0048702{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.0163857{col 67}{space 3} .0027052
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0014666{col 26}{space 2} .0003802{col 37}{space 1}   -3.86{col 46}{space 3}0.000{col 54}{space 4}-.0022117{col 67}{space 3}-.0007215
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0472924{col 26}{space 2} .0138812{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .0200858{col 67}{space 3}  .074499
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0017786{col 26}{space 2} .0009181{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.0035782{col 67}{space 3} .0000209
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0000903{col 26}{space 2} .0000273{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}-.0001438{col 67}{space 3}-.0000367
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0006307{col 26}{space 2} .0002219{col 37}{space 1}   -2.84{col 46}{space 3}0.004{col 54}{space 4}-.0010657{col 67}{space 3}-.0001958
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc14_dk
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_highpolicyportfolio=(0 1 )) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       973
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_highpolicyportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_highpolicyportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0699194{col 26}{space 2} .0349431{col 37}{space 1}    2.00{col 46}{space 3}0.045{col 54}{space 4} .0014323{col 67}{space 3} .1384065
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3227206{col 26}{space 2} .0596342{col 37}{space 1}    5.41{col 46}{space 3}0.000{col 54}{space 4} .2058397{col 67}{space 3} .4396016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Denmark) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"no" 1"yes", noticks) ytitle("minister = woman") xtitle("ministry of heightened policy-making activity ") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_highpolicyportfolio{p_end}
{res}{txt}
{com}. graph save figure_app4_4_dk.gph,replace
{txt}(note: file figure_app4_4_dk.gph not found)
{res}{txt}(file figure_app4_4_dk.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_highpolicyportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1251.8251}  
Iteration 2:{space 3}log likelihood = {res:-1251.5334}  
Iteration 3:{space 3}log likelihood = {res:-1251.5331}  
Iteration 4:{space 3}log likelihood = {res:-1251.5331}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1251.5331{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2515647{col 26}{space 2} .0979113{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4}  .059662{col 67}{space 3} .4434674
{txt}1.m~olicyp~o {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
m~yportfolio {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} 1.143613{col 26}{space 2} .2658305{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .6225944{col 67}{space 3} 1.664631
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0753018{col 26}{space 2} .0341889{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0082928{col 67}{space 3} .1423109
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0057135{col 26}{space 2} .0024458{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.0105072{col 67}{space 3}-.0009198
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0526729{col 26}{space 2} .0296092{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}  -.00536{col 67}{space 3} .1107058
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0016374{col 26}{space 2} .0007046{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.0030183{col 67}{space 3}-.0002564
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0006287{col 26}{space 2} .0002506{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0001375{col 67}{space 3}   .00112
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0013409{col 26}{space 2} .0003121{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-.0019525{col 67}{space 3}-.0007292
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc14_esp
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_highpolicyportfolio=(0 1 )) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       852
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_highpolicyportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_highpolicyportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2515647{col 26}{space 2} .0979113{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4}  .059662{col 67}{space 3} .4434674
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.395177{col 26}{space 2} .2507078{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4} .9037991{col 67}{space 3} 1.886556
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Spain) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"no" 1"yes", noticks) ytitle("minister = woman") xtitle("ministry of heightened policy-making activity ") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_highpolicyportfolio{p_end}
{res}{txt}
{com}. graph save figure_app4_4_esp.gph,replace
{txt}(note: file figure_app4_4_esp.gph not found)
{res}{txt}(file figure_app4_4_esp.gph saved)

{com}. 
. **** Figure 4.4
. graph combine figure_app4_4_be.gph figure_app4_4_dk.gph figure_app4_4_esp.gph , cols(3) graphregion(color(white)) 
{res}{txt}
{com}. graph save figure_app4_4.gph,replace
{txt}(note: file figure_app4_4.gph not found)
{res}{txt}(file figure_app4_4.gph saved)

{com}. 
. 
. **** Table A4.18
. esttab model_rc14_be model_rc14_dk model_rc14_esp using table_app4_18.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app4_18.rtf not found)
(output written to {browse  `"table_app4_18.rtf"'})

{com}. 
. 
. 
. 
. 
. 
. 
. *** Test 15: Interaction model with gendered nature of portfolio
. *** Table A4.19/Figure A4.5
. 
. 
. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_genderportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="belgium", fe 
{txt}note: 1 group (54 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2184.9665}  
Iteration 1:{space 3}log likelihood = {res:-1922.7595}  
Iteration 2:{space 3}log likelihood = {res:-1918.6459}  
Iteration 3:{space 3}log likelihood = {res:-1918.6121}  
Iteration 4:{space 3}log likelihood = {res:-1918.6121}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       428
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        26
{txt}{col 63}avg{col 67}={col 69}{res}      42.8
{txt}{col 63}max{col 67}={col 69}{res}        54

{txt}{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1918.6121{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.8154679{col 26}{space 2} .1861037{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-1.180224{col 67}{space 3}-.4507112
{txt}2.m~gender~o {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_g~o {c |}
{space 8}2 2  {c |}{col 14}{res}{space 2} .3751288{col 26}{space 2} .1776901{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0268626{col 67}{space 3}  .723395
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.1134215{col 26}{space 2} .0160978{col 37}{space 1}   -7.05{col 46}{space 3}0.000{col 54}{space 4}-.1449726{col 67}{space 3}-.0818704
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0252434{col 26}{space 2}  .003139{col 37}{space 1}    8.04{col 46}{space 3}0.000{col 54}{space 4}  .019091{col 67}{space 3} .0313957
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0427659{col 26}{space 2} .0203473{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4}  .002886{col 67}{space 3} .0826459
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0006799{col 26}{space 2} .0005749{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-.0018067{col 67}{space 3} .0004469
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}  .004206{col 26}{space 2} .0006497{col 37}{space 1}    6.47{col 46}{space 3}0.000{col 54}{space 4} .0029326{col 67}{space 3} .0054794
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0007431{col 26}{space 2} .0001591{col 37}{space 1}   -4.67{col 46}{space 3}0.000{col 54}{space 4} -.001055{col 67}{space 3}-.0004312
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc15_be
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_genderportfolio=(0 2)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       428
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.8154679{col 26}{space 2} .1861037{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-1.180224{col 67}{space 3}-.4507112
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4403391{col 26}{space 2}  .042364{col 37}{space 1}  -10.39{col 46}{space 3}0.000{col 54}{space 4}-.5233709{col 67}{space 3}-.3573072
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Belgium) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"feminine" 1"neutral" 2"masculine", noticks) ytitle("minister = woman") xtitle("ministry gender") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_genderportfolio{p_end}
{res}{txt}
{com}. graph save figure_app4_5_be.gph,replace
{txt}(note: file figure_app4_5_be.gph not found)
{res}{txt}(file figure_app4_5_be.gph saved)

{com}. 
. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_genderportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="denmark", fe 
{txt}note: 4 groups (152 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3266.9164}  
Iteration 1:{space 3}log likelihood = {res:-3219.5178}  
Iteration 2:{space 3}log likelihood = {res:-3219.4833}  
Iteration 3:{space 3}log likelihood = {res:-3219.4833}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       973
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        33

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        17
{txt}{col 63}avg{col 67}={col 69}{res}      29.5
{txt}{col 63}max{col 67}={col 69}{res}        45

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-3219.4833{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2} .2013104{col 26}{space 2} .0491704{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} .1049381{col 67}{space 3} .2976827
{txt}{space 12} {c |}
ministry_g~o {c |}
{space 10}1  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 10}2  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_g~o {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2}    .1006{col 26}{space 2} .0828666{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-.0618155{col 67}{space 3} .2630155
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} -.207869{col 26}{space 2} .0655244{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.3362944{col 67}{space 3}-.0794437
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0089528{col 26}{space 2} .0050174{col 37}{space 1}   -1.78{col 46}{space 3}0.074{col 54}{space 4}-.0187867{col 67}{space 3} .0008812
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018999{col 26}{space 2} .0003664{col 37}{space 1}   -5.19{col 46}{space 3}0.000{col 54}{space 4} -.002618{col 67}{space 3}-.0011819
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .0725063{col 26}{space 2} .0148379{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .0434245{col 67}{space 3} .1015881
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0024076{col 26}{space 2} .0009391{col 37}{space 1}   -2.56{col 46}{space 3}0.010{col 54}{space 4}-.0042482{col 67}{space 3} -.000567
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2}-.0001657{col 26}{space 2} .0000313{col 37}{space 1}   -5.29{col 46}{space 3}0.000{col 54}{space 4} -.000227{col 67}{space 3}-.0001043
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0010125{col 26}{space 2} .0002225{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.0014487{col 67}{space 3}-.0005764
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc15_dk
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_genderportfolio=(0 1 2)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       973
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2013104{col 26}{space 2} .0491704{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} .1049381{col 67}{space 3} .2976827
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3019104{col 26}{space 2} .0654123{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .1737046{col 67}{space 3} .4301161
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0065587{col 26}{space 2} .0463499{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.0974029{col 67}{space 3} .0842855
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Denmark) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"feminine" 1"neutral" 2"masculine", noticks) ytitle("minister = woman") xtitle("ministry gender") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_genderportfolio{p_end}
{res}{txt}
{com}. graph save figure_app4_5_dk.gph,replace
{txt}(note: file figure_app4_5_dk.gph not found)
{res}{txt}(file figure_app4_5_dk.gph saved)

{com}. 
. xtpoisson ministry_questions_all i.minister_gender##i.ministry_genderportfolio c.minister_mpduration_c##c.minister_mpduration_c c.minister_ministerduration_c##c.minister_ministerduration_c c.minister_ministerpfduration_c year_month if country=="spain", fe 
{txt}note: 1 group (31 obs) dropped because of all zero outcomes
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1296.131}  
Iteration 1:{space 3}log likelihood = {res:-1255.4309}  
Iteration 2:{space 3}log likelihood = {res:-1254.8285}  
Iteration 3:{space 3}log likelihood = {res:-1254.8282}  
Iteration 4:{space 3}log likelihood = {res:-1254.8282}  
{res}
{txt}Conditional fixed-effects Poisson regression{col 49}Number of obs{col 67}={col 69}{res}       852
{txt}Group variable: {res}ministry_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        19

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        20
{txt}{col 63}avg{col 67}={col 69}{res}      44.8
{txt}{col 63}max{col 67}={col 69}{res}        60

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}        .
{txt}Log likelihood  = {res}-1254.8282{col 49}{txt}Prob > chi2{col 67}={res}{col 73}     .

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ministry_~ll{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
2.minis~nder {c |}{col 14}{res}{space 2}-.1853139{col 26}{space 2} .2070763{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.5911759{col 67}{space 3} .2205481
{txt}{space 12} {c |}
ministry_g~o {c |}
{space 10}1  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 10}2  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
minister_g~r#{c |}
ministry_g~o {c |}
{space 8}2 1  {c |}{col 14}{res}{space 2} .4697657{col 26}{space 2} .2709206{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0612288{col 67}{space 3}  1.00076
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .9613659{col 26}{space 2} .2627804{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .4463257{col 67}{space 3} 1.476406
{txt}{space 12} {c |}
~pduration_c {c |}{col 14}{res}{space 2} .0462884{col 26}{space 2} .0343984{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0211313{col 67}{space 3}  .113708
{txt}{space 12} {c |}
{space 10}c. {c |}
~pduration_c#{c |}
{space 10}c. {c |}
~pduration_c {c |}{col 14}{res}{space 2}-.0018537{col 26}{space 2} .0026856{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.0071175{col 67}{space 3}   .00341
{txt}{space 12} {c |}
~rduration_c {c |}{col 14}{res}{space 2} .1300825{col 26}{space 2}   .03205{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} .0672656{col 67}{space 3} .1928994
{txt}{space 12} {c |}
{space 10}c. {c |}
~rduration_c#{c |}
{space 10}c. {c |}
~rduration_c {c |}{col 14}{res}{space 2}-.0034968{col 26}{space 2} .0007682{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.0050025{col 67}{space 3}-.0019912
{txt}{space 12} {c |}
~fduration_c {c |}{col 14}{res}{space 2} .0005248{col 26}{space 2} .0002352{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0000639{col 67}{space 3} .0009857
{txt}{space 2}year_month {c |}{col 14}{res}{space 2}-.0015026{col 26}{space 2} .0003202{col 37}{space 1}   -4.69{col 46}{space 3}0.000{col 54}{space 4}-.0021302{col 67}{space 3}-.0008749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store model_rc15_esp
{txt}
{com}. 
. margins, dydx(minister_gender) at(ministry_genderportfolio=(0 1 2)) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       852
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.minister_gender}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:ministry_genderportfolio}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1.minis~nder{col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.minis~nder {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1853139{col 26}{space 2} .2070763{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.5911759{col 67}{space 3} .2205481
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2844518{col 26}{space 2} .1672549{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.0433618{col 67}{space 3} .6122655
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .776052{col 26}{space 2} .1479777{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4}  .486021{col 67}{space 3} 1.066083
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, graphregion(color(white)) yline(0, lpattern(dash) lcolor(gs12)) title(Spain) ylabel(-1.5(0.5)1.5,notick angle(horizontal) nogrid) xlabel(0"feminine" 1"neutral" 2"masculine", noticks) ytitle("minister = woman") xtitle("ministry gender") recast(scatter) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ministry_genderportfolio{p_end}
{res}{txt}
{com}. graph save figure_app4_5_esp.gph,replace
{txt}(note: file figure_app4_5_esp.gph not found)
{res}{txt}(file figure_app4_5_esp.gph saved)

{com}. 
. 
. 
. ******* Figure A4.5
. graph combine figure_app4_5_be.gph figure_app4_5_dk.gph figure_app4_5_esp.gph , cols(3) graphregion(color(white)) 
{res}{txt}
{com}. graph save figure_app4_5.gph,replace
{txt}(note: file figure_app4_5.gph not found)
{res}{txt}(file figure_app4_5.gph saved)

{com}. 
. 
. **** Table A4.19
. esttab model_rc15_be model_rc15_dk model_rc15_esp using table_app4_19.rtf , b(3) se(3) label star(+ 0.1 * 0.05 ** 0.01 *** 0.001) replace
{res}{txt}(note: file table_app4_19.rtf not found)
(output written to {browse  `"table_app4_19.rtf"'})

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{txt}end of do-file

{com}. 